Abstract: According to one embodiment, a structure evaluation system according to an embodiment includes a plurality of sensors, a position locator, and an evaluator. The plurality of sensors detect elastic waves. The position locator locates positions of elastic wave sources by using the elastic waves among the plurality of elastic waves respectively detected by the plurality of sensors having an amplitude exceeding a threshold value determined according to positions of the sources of the plurality of elastic waves and the positions of the plurality of disposed sensors. The evaluator evaluates a deteriorated state of the structure on the basis of results of the position locating of the elastic wave sources which is performed by the position locator.

Abstract: Method for determining the geometry of multiple defects in a magnetizable object using a reference data record of the object, comprising determining an initial defect geometry as starting defect geometry, determining a first MFL prediction data record as starting prediction data record on the basis of the starting defect geometry, and iteratively adapting the starting defect geometry to the geometry of the real defect(s) by means of the EDP unit and by means of multiple expert routines (11) running in competition and preferably in parallel with one another.

Abstract: A method and system for rotating a vector, including at least one lookup table (LUT) including data corresponding to the vector being rotated around a first angle and a second angle, processing circuitry configured for accessing the at least one LUT for incrementally rotating the vector around the first and second angles, where accessing includes identifying an LUT input entry and selecting a corresponding LUT output entry, the corresponding output entry including an incremental angular rotation (IAR) of the vector around the first angle or the second angle, and a comparator configured to generate a comparator signal based upon comparing a counter incremented by the IAR with the first angle or the second angle, the processing circuitry further configured to iteratively access the at least one LUT, based on the comparator signal, for completing the incremental rotation of the vector around the first angle and the second angle.

Abstract: A controller for controlling an operation of a system is disclosed. The controller receives an input signal indicative of the operation of the system and rotates a test signal multiple times with different circular shifts to produce different rotations of the test signal forming a matrix data structure with the input signal. The input signal and the test signal are time-series data having values monotonically measured over time. The controller is further configured to apply a sliding three-dimensional (3D) window method to the matrix data structure to produce statistics of the input signal with respect to the rotations of the test signal. The sliding 3D window method iteratively moves window over the matrix data structure to compute a value of the statistics for a segment of the matrix data structure within the window. Furthermore, the controller controls the operation of the system according to the statistics of the input signal.

Abstract: The present invention provides a monitoring method for a plate billet crank flying shear process, including: acquiring a control signal of a control system of a crank flying shear device, and determining a cutting stage of the crank flying shear process according to the control signal; obtaining an actual cutting edge speed curve in the cutting stage, and further dividing the cutting stage into multiple sub-processes according to the actual cutting edge speed curve; obtaining actual data of a parameter related to the crank flying shear process, and for one or more of the multiple sub-processes, separately comparing the actual data of the parameter with typical data of the parameter, in order to estimate an abnormality risk.

Abstract: An operation verifying apparatus of a first embodiment acquires a log indicating the content of a sequence of operations performed on a predetermined device, identifies corresponding functions from the log, and automatically generates a program based on the identified functions. Input data, which is to serve as an argument of each of these functions, is set. Execution sets as well as test scenarios are each structured by combining a program and input data. Then each execution set is continuously executed. As a result, an operation test using a test program is executed.

Abstract: A rail break detection device to which an output waveform from a vibration sensor, which is a first vibration sensor, and an output waveform from a vibration sensor, which is a second vibration sensor, are input, the vibration sensors being mounted on different positions of rails, includes a waveform similarity determination unit to compare impulse waveforms separated from the output waveforms or compare continuous waveforms separated from the output waveforms, and determine similarity therebetween, and detects a break of a rail.

Abstract: An apparatus for prediction of the residual lifetime of an electrical system includes: an input unit; a processing unit; and an output unit. The input unit provides at least one sensor data from at least one sensor to the processing unit, the at least one sensor data including a measurement of at least one physical parameter of at least one component of an electrical system. Each sensor data is associated with a corresponding sensor and relates to a measurement of one physical parameter of a corresponding component of the electrical system. Each sensor data extends over a plurality of time windows and is assigned to a certain data class, such that sensor data at a particular time window has a value that falls into one of the data classes. For each sensor data the processing unit assigns the sensor data at each time window into a corresponding measurement window.

Abstract: An abnormality detection device that detects an abnormality of a target device includes a processor that executes a process of acquiring a plurality of types of measured values of the target device, a process of calculating Mahalanobis distances of the acquired plurality of types of measured values, a process of extracting the plurality of Mahalanobis distances calculated in a past predetermined period from a point in time of evaluation of the target device and calculating a moving average value of a square value of each of the extracted Mahalanobis distances, and a process of determining whether or not an abnormality has occurred in the target device on the basis of the moving average value.

Abstract: A shape data group that is shape data of each of a predetermined number or more of winding bodies correlated with time information is acquired, a first defect ratio before maintenance is calculated on the basis of each shape data group of the predetermined number of winding bodies read before the maintenance, a second defect ratio after the maintenance is calculated on the basis of each shape data group of the predetermined number of winding bodies read after the maintenance, and a facility state diagnosis model is generated by using each shape data group of the predetermined number of winding bodies read before the maintenance in a case where a difference between the first defect ratio and the second defect ratio is greater than or equal to a predetermined value.

Abstract: Long-term photovoltaic system degradation can be predicted through a simple, low-cost solution. The approach requires the configuration specification for a photovoltaic system, as well as measured photovoltaic production data and solar irradiance, such as measured by a reliable third party source using satellite imagery. Note the configuration specification can be derived. This information is used to simulate photovoltaic power production by the photovoltaic system, which is then evaluated against the measured photovoltaic production data. The simulated production is adjusted to infer degradation that can be projected over time to forecast long-term photovoltaic system degradation.

Abstract: A vibration measurement sensor (3) adapted to measure the vibrations formed on a test object (O) with moving mechanical systems, at least one noise measurement sensor (4) adapted to measure sound intensity and/or particle velocity and/or sound pressure in at least one direction, i.e. on one axis, and a vibration and noise mapping system (1) that is adapted to control the vibration measurement sensor (3) and the noise measurement sensor (4), to provide the vibration and acoustic performance data of the test object (O) according to the data obtained from these units (3, 4) and to identify the areas on the test object (O) that are problematic or need to be studied further in order to improve vibration and acoustic performances thereof, and to control the operation of test objects (O) such as moving mechanical systems under different conditions.

Abstract: A method of analyzing a vibratory signal derived from rotation of at least one moving part belonging to a rotary mechanism forming all or part of a drive train for transmitting drive torque, the rotary mechanism being fitted to an aircraft and the method comprising at least one first measurement step including measuring vibration in at least one direction and generating a vibratory signal representative of the operation of the rotary mechanism as a function of time, the first measurement step being performed by means of at least one vibration sensor; and at least one second measurement step including measuring an angular position of the moving part, the moving part having at least one degree of freedom to move in rotation about a respective axis of rotation Z. Such an analysis method makes it possible to determine at least one usable range for the vibratory signal.

Abstract: A system and method for determining seasonal energy consumption with the aid of a digital computer is provided. Through a power metering energy loads for a building situated in a known location are assessed as measured over a seasonal time period. Outdoor temperatures for the building are assessed as measured over the seasonal time period through a temperature monitoring infrastructure. A digital computer comprising a processor and a memory that is adapted to store program instructions for execution by the processor is operated, the program instructions capable of: expressing each energy load as a function of the outdoor temperature measured at the same time of the seasonal time period in point-intercept form; and taking a slope of the point-intercept form as the fuel rate of energy consumption during the seasonal time period.

Abstract: A method is shown for measuring the utilization of the load carrying capacity of a building structural element subject to variable action, including measurements of the rotation angles of cross-sections of this building structural element, wherein the rotation is caused by the variable action, wherein the rotation angles ?1 and ?2 of the cross-sections of the building structural element around the axis (Z) perpendicular to the longitudinal section of this building structural element are measured in two points (A) and (B) of this building structural element, located symmetrically relative to its transverse axis of symmetry, and subsequently the greater of the measured values of the angles ?1 and ?2 is used as the measure of the utilization of the load carrying capacity of the building structural element.

Abstract: A system and method for determining a balance point of a building that has undergone or is about to undergo modifications (such as shell improvements) are provided. A balance point of the building before the modifications can be determined using empirical data. Total thermal conductivity of the building before and after the modifications is determined and compared. Indoor temperature of the building is obtained. The balance point temperature after the modifications can be determined using a result of the comparison, the temperature inside the building, and the pre-modification balance point temperature. Knowing post-modification balance point temperature allows power grid operators to take into account fuel consumption by that building when planning for power production and distribution. Knowing the post-improvement balance point temperature also provides owners of the building information on which they can base the decision whether to implement the improvements.

Abstract: Provided are systems and methods for a predictive analysis system, comprising: at least one first sensor at a first location of interest that receives a first source of sensor data; at least one second sensor at a second location of interest that receives a second source of sensor data; and a predictive data processing device that generates a predictive outcome regarding an anticipated event at the first location of interest in response to an analysis of a combination of the first source of sensor data, the second source of sensor data, and a source of historical data.

Abstract: A system for predictive analysis and/or process control, preferably including one or more communication and/or computing systems, and optionally including one or more entities and/or sensors. A method for predictive analysis and/or machine operation, preferably including receiving entity data and determining one or more latent features, and optionally including determining one or more response reconstructions, determining a processed representation of the entity data, determining entity information, and/or acting based on entity information.

Abstract: The present invention relates to a vibration and noise mapping system and method, which enables to generate the vibration and noise maps of the vibration and noise sources, and to determine areas, the vibration and acoustic performance of which are needed to be improved, and/or the problematic areas quickly.

Abstract: The present invention provides continuous monitoring of the attributes of a structure before, during and after an incident. This assessment is delivered within minutes after an incident to the people using the structure. In addition, results from all devices triggered by the event can be aggregated and made available to first responders, governmental disaster management teams and operators of critical facilities.