Abstract: A method of predicting a bleed air system fault in an aircraft having an engine operably coupled to a bleed air system including at least one valve, at least one bleed air system sensor, where the method includes receiving a sensor signal from the at least one of the bleed air system sensor to define a sensor output, comparing the sensor output to a reference value, and predicting a fault in the bleed air system based on the comparison.

Abstract: A device for monitoring the lining thickness of a brake lining of a friction brake of a vehicle is disclosed, wherein the brake lining interacts with a friction partner, such as a brake disk. The brake lining is equipped with at least one passive transponder of an RFID system, wherein the passive transponder is changed and/or destroyed once the brake lining has reached a defined wear threshold as a result of contact with the friction partner or with an element that is guided by the friction partner, such that the transponder transmits a signal that differs from an expected signal, or no signal, to a reading unit of the RFID system after being illuminated by the reading unit.

Abstract: A method and system of monitoring a structure, the method including: a) synchronously acquiring data comprising a plurality of operational parameters and at least one strain data, b) building a significant points dataset from the data acquired in step a), and c) modelling a relationship between the operational parameters and the strain data using the built significant points dataset to train a non-adaptive prediction functional supervised approximation method, wherein the step of building a significant points dataset comprises deletion of redundant information from the acquired data. The resultant models may be used to process structure real operation data in order to estimate the eventual crack initiation and crack growth on a set of predefined locations of the structure.

Abstract: A system for predicting tire casing life remaining for a casing in a tire, the system including: a tire condition measurement unit that measures one characteristic value including tire internal pressure information indicating at least one of a tire condition and a vehicle running condition; a temperature history estimation unit that estimates a temperature history of at least one location in at least one casing structural member based on the characteristic value; a member physical property calculation unit that calculates at least one current physical property value of the at least one casing structural member that degrades due to tire internal air temperature based on at least the tire internal pressure information and the temperature history; and a remaining drivable distance prediction unit that predicts a drivable distance of the tire until the current physical property value reaches a physical property value limit set in advance.

Abstract: A method of predicting a trailing edge flap failure, the method includes receiving a position signal from the position sensor indicative of the position of at least one of the trailing edge flaps, comparing the position signal to a reference position value to define a position comparison, defining a variation comparison and providing an indication of a prediction of a trailing edge flap failure based on the variation comparison.

Abstract: A method, apparatus and program product determine a health condition for the tires on one or more vehicles by performing an individual self-comparison and a peer-based comparison for each tire, where the individual self-comparison reduces variances between the plurality of tires on the vehicle, and the peer-based comparison reduces variances within each tire. Anomalies, such as severe leakage and tire inflations may be detected, and slow leakages may be predicted based upon historical data associated with the health condition.

Abstract: An apparatus and method for forecasting a geostationary satellite anomaly is provided. The method may include storing at least one piece of space environmental information, satellite information, and satellite anomaly event information, and estimating a satellite anomaly susceptibility to a space environmental phenomenon based on the at least one piece of space environmental information, the satellite information, and the anomaly event information.

Abstract: An engine control system includes a torque request control module to determine a first engine torque request. An artificial neural network (ANN) torque request module determines a second engine torque request using an ANN model. A torque security check module that selectively generates a malfunction signal based on the difference between the first engine torque request and the second engine torque request.

Abstract: A method of predicting a horizontal stabilizer system fault in an aircraft, where the method includes receiving data relevant to a characteristic of the pitch of the aircraft during flight, comparing the received data to a reference pitch characteristic, predicting a fault in the horizontal stabilizer system based on the comparison, and providing an indication of the predicted fault.

Abstract: A method for vehicle spinout detection is described. The method includes monitoring a set of conditions. If the conditions meet a set of criteria, the method calculates a lateral factor, employing one or more past values of the lateral factor. The lateral factor indicates the vehicle's lateral velocity. Then, a spinout factor is computed based on the calculated lateral factor. The spinout factor indicates the difference between the direction of vehicle travel and the direction the vehicle is heading. If the spinout factor is above a predefined threshold value, the method generates a warning signal. A system for vehicle spinout detection is also described.

Abstract: A system and a method of generating a reliability prediction for components of a vehicle. The system and the method include implementing importance sampling in dynamic vehicle systems when the vehicle is subjected to time-dependent random terrain input. Alternatively, simulation data may be implemented. The system and the method include determining a decorrelation length, scaling up the standard deviation of white noise, and calculation of a likelihood ratio.

Abstract: A metal plate (14) is buried in a gasket (12) of a case (10) for accommodating an electric device such as an inverter. The metal plate (14) is connected to a control board (400) in the case (10), and the voltage of the metal plate (14) is determined. A reference voltage is applied to the metal plate (14), and the case (10) is grounded. When the metal plate (14) is brought into contact with the case (10) or disconnected due to a crash, the voltage of the metal plate (14) is thereby changed, and the control board (400) detects a crash, based on the change in the voltage.

Abstract: A method is disclosed for determining the cost of operating a vehicle over a defined period of time. The method proceeds by establishing, on a database, a schedule of anticipated future repairs for a plurality of vehicle types, the repair schedule including the cost of the repairs and the approximate mileage at which the anticipated future repair(s) are expected to become necessary. A processor, in communication with the database, receives information identifying a particular of vehicle, and the present mileage associated with that particular vehicle. Using the vehicle type information, the vehicle's present mileage information and the repair schedule, the processor then computes the approximate total future repair costs for maintaining the vehicle over a defined period of time.

Abstract: A rental/car-share (RCS) vehicle access and management system and method, in some embodiments, utilizes barcodes, QR codes (or NFC/RFID), GPS, and a mobile app coupled with a wireless network to enable customers to bypass the reservation desk and pickup and drop off reserved RCS vehicles using a mobile phone, tablet or laptop. The QR code, RFID, or NFC communication with the mobile application allows for identification of the vehicle by a mobile application, which, if authorized, can access the vehicle via a temporary access code issued by remote servers. The remote servers and/or mobile application communicates with a control module that plugs into the on-board diagnostics module of the rental/car-share (RCS) vehicle and includes a host processing unit with a processor, an accelerometer, data storage, a GPS with internal GPS antenna; a wireless modem with internal antenna, and CAN bus transceivers connected with the processor, and a USB programmable interface.

Abstract: A method of monitoring at least one limited-lifetime part. During an identification step (STP1), storage means (40) store a list including a reference for each limited-lifetime part of an engine (3). During an information-search step (STP2), the storage means (40) communicate with a centralized data system (DB) in order to store for each identified part the corresponding maintenance data. During a monitoring step (STP3), the wear of the engine is monitored by using the information stored in the storage means (40).

Abstract: Disclosed is a method of detecting a failure of a motor of an electric brake booster. The method includes: a) determining whether the electric vehicle brake booster is in the brake pressure control mode or the motor position control mode; b) storing a first position value of the motor for each of predetermined periods when it is determined that the electric vehicle brake booster is in the brake pressure control mode; c) comparing the first position value stored for the last period among the first position values with a second position value of the motor in the motor position control mode when the brake pressure control mode is changed to the motor position control mode; and d) determining that the motor is in a locked state when the first position value and the second position value are substantially identical.

Abstract: An indicator of an estimated remaining life of an associated spring device can include at least one sensor and at least one processor. The at least one sensor can be operative to generate a signal having a relation to at least one of a usage condition and an environmental exposure condition of a spring device. The at least one processor can be communicatively coupled with the at least one sensor and programmed to receive signals from the at least one sensor, derive data from the received signals, and determine an estimated remaining life of at least the spring device using the data and an expression modeling a relationship between an estimated remaining life of the spring device and at least one of a usage condition and an environmental exposure condition. A gas spring and indicator assembly, a suspension system and a method are also included.

Abstract: A vehicle fault diagnosis and prognosis system includes a computing platform configured to receive a classifier from a remote server, the computing platform tangibly embodying computer-executable instructions for evaluating data sequences received from a vehicle control network and applying the classifier to the data sequences, wherein the classifier is configured to determine if the data sequences define a pattern that is associated with a particular fault.

Abstract: A vehicle diagnostic tool configured to interface with a removable memory device. The removable memory device is configured to store information about the vehicle such as, for example, the maintenance history of the vehicle and notes or special instructions from one or more mechanics having performed the maintenance. The memory device, once disengaged from the diagnostic tool, is given to the vehicle's owner for safekeeping and may be incorporated in a key, fob or other device that the owner would often have available when operating the vehicle. Also, a method of collecting and storing vehicle data is also provided.

Abstract: A system for predicting tire casing life remaining for a casing in a tire, the system including: a tire condition measurement unit that measures one characteristic value including tire internal pressure information indicating at least one of a tire condition and a vehicle running condition; a temperature history estimation unit that estimates a temperature history of at least one location in at least one casing structural member based on the characteristic value; a member physical property calculation unit that calculates at least one current physical property value of the at least one casing structural member that degrades due to tire internal air temperature based on at least the tire internal pressure information and the temperature history; and a remaining drivable distance prediction unit that predicts a drivable distance of the tire until the current physical property value reaches a physical property value limit set in advance.

Abstract: There is provided a method of predicting defects likely to occur in a vehicle over a predetermined period. The method includes receiving vehicle characteristic data regarding a vehicle under consideration, and comparing the received vehicle characteristic data with a defect database. The defect database includes information related to defects that have occurred in different vehicles and the mileage at which such defects occurred. The method additionally includes identifying defects that occurred in vehicles corresponding to use vehicle under consideration, and the mileage at which such defects occurred. Detects which fail to satisfy minimum count requirements are then filtered out, and the defects are then sorted in order of the highest defect count.

Abstract: A method of detecting an in-range failure of a brake pedal position sensor includes calculating the difference between a minimum position and a maximum position of the brake pedal position sensor. The calculated difference is weighted to define a fast test weighted input value and/or a full test weighted input value. A cumulative test result value is incremented by the fast test weighted input value and/or the full test weighted input value. The cumulative test result value is filtered to define a moving average of the cumulative test result value after each incremented occurrence. The moving average of the cumulative test result value is tracked to determine if the brake pedal position sensor is functioning properly.

Abstract: A recycled battery supply forecast unit 201 of a battery management server 20 receives, from a plurality of vehicles 40, performance information of a secondary battery 403 mounted on each of the vehicles 40 and state information of the vehicle for determining a life of the vehicle 40, makes a forecast of an end of life of the vehicle 40 by using history of the state information of that vehicle, and makes a forecast of performance of the secondary battery 403 at the end of life of that vehicle 40 by using history of the performance information of the secondary battery 403. In addition, a forecast is made of a supply quantity of recyclable secondary batteries at a certain point in time in the future based on a forecast result of the performance of the secondary battery 203 at the end of life of each vehicle 40.

Abstract: A system, for use in accounting for an effect of a long-trip cycle on remaining life of engine oil, being used in a vehicle, using a long-trip rebate value. The system includes a computer processor and a non-transitory computer-readable medium that is in operative communication with the processor and has instructions that, when executed by the processor, cause the processor to perform various operations. The operations include determining a long-trip time indicating an amount of time that the vehicle was operated recently in the long-trip cycle. The operations further include determining the long-trip rebate according to a rebate function using the determined long-trip time.

Abstract: A system, method and apparatus for monitoring the performance of a gas turbine engine. A counter value indicative of the comparison between the engine condition and the threshold condition is adjusted. The aircraft operator is warned of an impending maintenance condition based on the counter value and determines an appropriate course of action.

Abstract: A data communication system has a pair of signal lines which connects a plurality of controllers on a vehicle. At least one controller has a failure detector which detects data communication failure. At least one controller has a fall-back detector which detects fall-back state in which data communication is performed by using only one signal line. At least one controller has a high-level fail-safe module which restricts driving of the vehicle in response to a detection of the failure. The controller also has a low-level fail-safe module which performs precautious fail-safe control, which is less restrictive than that performed by the high-level fail-safe module, in response to a detection of the fall-back state.

Abstract: Multiple leak rate methodologies are combined and operate in parallel in a system for providing optimal results under different tire conditions. The methodologies may operate continuously or alternatively. Tandem large leak rate and low leak rate algorithms and methodology, for example, may deployed in a system in which, for large leak rates, a large leak rate methodology is employed and used to trigger a warning. At some pre-designated low leak rate threshold value, the system employs a low leak rate methodology either as an exclusive diagnostic monitor or in parallel with the companion large leak rate methodology. In the low leak rate analytical system, a change in tire pressure is correlated to a change in energy within a vehicle system pursuant to the algorithm W=??P*dx and derivative algorithms are used to calculate a final time and pressure drop at the final time as a basis for issuing a low pressure warning.

Abstract: A method for the fail-safe operation of a hybrid vehicle having an internal combustion engine, an electric motor, and additional vehicle assemblies. A substitute measure that then still allows the vehicle to be operated under emergency running conditions is initiated if a vehicle assembly fails. A performance quantity that is characteristic of the driving-dynamics situation in which the vehicle finds itself is recorded prior to initiating the substitute measure, and is compared to at least one limit value. The substitute measure is initiated if the limit value is exceeded or not attained. A device which includes a device for implementing such a method is also provided.

Abstract: A method includes: receiving classification data for a hazard associated with a system of a vehicle, the classification data indicating a classification of the hazard under standard 26262 of the International Organization for Standardization (ISO); receiving fault tree data for a fault tree of the hazard; analyzing the fault tree data using a fault tree analysis (FTA) application; identifying a minimal cut-set for the hazard; retrieving standards data for the hazard based on the classification of the hazard, the standards data indicating a minimum value for minimal cut-sets under the 26262 standard; comparing a number of elements in the minimal cut-set with the minimum value; and indicating whether the minimal cut-set complies with the 26262 standard based on the comparison.

Abstract: A method and system of monitoring a structure, the method including: a) synchronously acquiring data comprising a plurality of operational parameters and at least one strain data, b) building a significant points dataset from the data acquired in step a), and c) modelling a relationship between the operational parameters and the strain data using the built significant points dataset to train a non-adaptive prediction functional supervised approximation method, wherein the step of building a significant points dataset comprises deletion of redundant information from the acquired data. The resultant models may be used to process structure real operation data in order to estimate the eventual crack initiation and crack growth on a set of predefined locations of the structure.

Abstract: A test apparatus is for electric vehicle supply equipment. The test apparatus includes an enclosure; a processor; and an interface to at least the electric vehicle supply equipment. The processor is structured to test that the electric vehicle supply equipment is functioning properly and to provide at least one of: a number of causes of failure of the electric vehicle supply equipment, an indication of how to correct the failure, automatic correction of the failure, and predictive maintenance of the electric vehicle supply equipment prior to a failure thereof.

Abstract: A method and system for predictive maintenance of electronic equipment on board an aircraft (1). To produce a prognosis, the following are provided: a step (48) of modeling the equipment (3) with a model (53) for damage by an external aggression; a step (49) of simulating the damage up to failure; a learning step (64); a step (65) of classifying calculated and normalized values; and a fusion step (61) giving the real prognosis of the time to maintenance in units of time. The invention applies in particular to a rotary wing aircraft (1), e.g. a helicopter drone.

Abstract: A method is provided for enhancing service diagnostics utilizing service repair data of previously serviced vehicles. Service repair data of previously serviced vehicles is obtained from a memory storage device. The service data is compiled into a service diagnostic code dataset and a service labor code dataset. The service diagnostic code dataset and service labor code dataset are categorized into an electronic data table. Respective combinations are formed in the electronic data table. An aggregate count is determined for each respective combination in the electronic data table. Either of a respective diagnostic code or a respective service labor code is identified having a correlation with more than one of either service diagnostic codes or service labor codes. At least one of a service repair procedure used to repair the vehicle or a respective service diagnostic code used to identify the fault is modified in response to analyzing the respective combinations.

Abstract: A method of determining an engine intake air leak may include measuring an air flow rate into an internal combustion engine, comparing the measured air flow rate to a first predetermined air flow limit, calculating an estimated air flow rate into the engine when the measured air flow rate is less than the first predetermined air flow limit, comparing the estimated air flow rate to second and third predetermined air flow limits, and indicating an air leak when the estimated air flow rate is greater than the second predetermined air flow limit and less than the third predetermined air flow limit.

Abstract: A method and system is developed that provides a confidence measure of a prediction of a fault in a gas turbine engine. The confidence measure is developed based upon evaluating the results of a plurality of past predictions and comparing them to an actual fault.

Abstract: A center control unit (11) of a center unit (4) generates assessment information corresponding to the strictness of the usage conditions for a specified component based on operation data stored in an operation data accumulation unit (13) received by an in-vehicle terminal (2) and assessment regulations stored in an assessment regulation storage unit (14), and generates report information for displaying a report in a form allowing comparison of this generated assessment information to relative comparison assessment information stored in an assessment information storage unit (15). A transmitter-receiver (12) transmits the report information generated by the center control unit (11) to a user terminal (3).

Abstract: A method of monitoring an onboard diagnostic system for a plug-in hybrid electric vehicle includes incrementing the denominator of an N/D ratio for the onboard diagnostic system only when a total time criteria, a vehicle speed criteria and an idle criteria are satisfied after an internal combustion engine of the vehicle has been fueled. The diagnostic system performance is summarized into a single N/D ratio. When an underperforming ratio is identified, the system controls the engine to provide more engine operation and subsequent diagnostic observability. The denominator of the N/D ratio is compared to a verification denominator to identify vehicles that are typically operated in a manner such that an engine-on cycle does not begin, or is not identified, until very near the end of the drive cycle, thereby preventing the denominator and a numerator of the N/D ratio from incrementing, and thereby providing a false passing performance ratio.

Abstract: Method, system and non-transitory computer-readable medium for fail-safe performance of a lane centering system. An electrical power steering (EPS) system of a vehicle is monitored for a failure and operation of the lane centering system is switched to a differential braking controller to output differential braking commands to a differential breaking system upon determining that a failure of the EPS system has occurred, where the output braking commands direct the differential braking system to apply force a brake for a wheel of vehicle, such by the applied braking force the vehicle follows a desired path determined for a lane centering operation.

Abstract: A diagnostic method for an engine having a valve for controlling dilution of intake air. The method comprises, during engine fueling, indicating a degradation of the valve when the valve is commanded closed but sensor output corresponds to an oxygen level below that of air. The method further comprises, absent engine fueling, indicating degradation of the sensor when the valve is commanded closed but the sensor output corresponds to an oxygen level below that of air.

Abstract: The apparatus includes a data normalization unit, a neural network problem prediction unit, and a transition change prediction unit. The data normalization unit creates normalization transformation values by performing normalization transformation based on threshold value ranges for a plurality of pieces of vehicle network data. The neural network problem prediction unit creates a neural network problem prediction value by predicting a mixed problem with the vehicle using a multi-artificial neural network model, created based on a learning data set related to mixed problems having previously occurred in the vehicle and the normalization transformation values. The transition change prediction unit predicts a change in transition for the mixed problem according to a change in the neural network problem prediction value, by analyzing the neural network problem prediction value and previous neural network problem prediction values previously created in the vehicle.

Abstract: A method for vehicle spinout detection is described. The method includes monitoring a set of conditions. If the conditions meet a set of criteria, the method calculates a lateral factor, employing one or more past values of the lateral factor. The lateral factor indicates the vehicle's lateral velocity. Then, a spinout factor is computed based on the calculated lateral factor. The spinout factor indicates the difference between the direction of vehicle travel and the direction the vehicle is heading. If the spinout factor is above a predefined threshold value, the method generates a warning signal. A system for vehicle spinout detection is also described.

Abstract: The invention concerns a system for monitoring a flight control actuator of an aircraft, including: an actuator (1), sensors (3a-3d) in the actuator (1) to collect, during each flight of the aircraft, series of measurements of parameters relative to the said actuator, processing means (5) to calculate a set of damage indicators using, cumulatively, the series of measurements observed during each of the aircraft's successive flights, and a memory (7; 7a) to store the said set of damage indicators, where the said memory is integrated in the actuator.

Abstract: The invention relates to a method and a system for predicting maintenance operations on a current aircraft engine, comprising: processing means to compare a set of failure models (M1, . . . , Mn) adapted to said current engine to select a relevant failure model (Mi) with a failure age (T0) defining the age of said engine at the time of the failure; processing means to associate decision rules (R) about the workscope on said current engine with said relevant failure model (Mi), as a function of a set of parameters (P1, P2, Pi) related to said current engine; and processing means to determine the required maintenance workscope (Wf) to be applied to said current engine, as a function of said decision rules.

Abstract: A system and method for determining the state of health of a starter motor to notify a vehicle driver of a potential starter motor failure before the failure actually occurs. The starter motor includes an armature and motor brushes each providing a resistance, and an armature coil providing an armature inductance. Further, the starter motor has a back EMF because of the starter motor being coupled to a flywheel and the vehicle engine. The system and method monitor the combined resistance of the armature and the motor brushes, the inductance of the armature and a back EMF constant of the motor, and provide a signal indicating a potential starter motor failure if any of these three values significantly deviates from nominal values. In one embodiment, the analysis of the motor resistance, armature inductance and back EMF constant is provided by a regression model to determine estimated motor parameters.

Abstract: A method and system for predictive maintenance of electronic equipment on board an aircraft (1). To produce a prognosis, the following are provided: a step (48) of modeling the equipment (3) with a model (53) for damage by an external aggression; a step (49) of simulating the damage up to failure; a learning step (64); a step (65) of classifying calculated and normalized values; and a fusion step (61) giving the real prognosis of the time to maintenance in units of time. The invention applies in particular to a rotary wing aircraft (1), e.g. a helicopter drone.

Abstract: A diagnostic device of an internal combustion engine diagnoses a condition of a differential pressure sensor. The sensor in a normal condition detects a differential pressure of an exhaust gas between upstream and downstream sides of a diesel particulate filter disposed in an exhaust system of the engine. The sensor in a fault condition detects no differential pressure of the exhaust gas. The device has a block obtaining a first signal from the sensor when the engine is operated in a low flow rate region of the exhaust gas and obtaining a second signal from the sensor when the engine is operated in a high flow rate region of the exhaust gas. A diagnostic block of the device judges from a difference between levels of the first and second signals whether the sensor is in the normal or fault condition.

Abstract: An apparatus for emergency driving of a vehicle includes an engine fail recognizing unit monitoring an operational state of an engine in real time and outputting an engine fail recognition signal when a failure of the engine is recognized; an emergency driving switch operation recognizing unit recognizing an operation of an emergency driving switch disposed in the vehicle and outputting an emergency driving switch operation signal; an emergency driving condition verifying unit verifying whether emergency driving of the vehicle is possible by comparing predetermined registered emergency drivable condition information with a current state of the vehicle when any one of the engine fail recognition signal and the emergency driving switch operation signal is inputted; and a driving unit forcibly driving the engine of the vehicle by driving a belt driven or other suitable starter according to a verification result of the emergency driving condition verifying unit.

Abstract: A method is provided for enhancing service diagnostics utilizing service repair data of previously serviced vehicles. Service repair data of previously serviced vehicles is obtained from a memory storage device. The service data is compiled into a service diagnostic code dataset and a service labor code dataset. The service diagnostic code dataset and service labor code dataset are categorized into an electronic data table. Respective combinations are formed in the electronic data table. An aggregate count is determined for each respective combination in the electronic data table. Either of a respective diagnostic code or a respective service labor code is identified having a correlation with more than one of either service diagnostic codes or service labor codes. At least one of a service repair procedure used to repair the vehicle or a respective service diagnostic code used to identify the fault is modified in response to analyzing the respective combinations.

Abstract: A method, apparatus and computer program product are provided to not only predict an impending fault, but also to avoid the occurrence of the fault such that continued operations are permitted with a reduced likelihood of the occurrence of the fault. In this regard, a plurality of features are provided to at least one model, such as a random forest classification model. The plurality of features include features representative of at least one prior operational sequence as well as features representative of at least one upcoming operational sequence. The plurality of features are then processed with at least one model to determine a likelihood of a fault during the upcoming operational sequence. The method also alters the characteristics of the upcoming operational sequence without requiring maintenance of the equipment to thereby permit the upcoming operational sequence to be conducted with a reduced likelihood of the fault.