Abstract: A method of diagnosing a condition of a central processing unit (CPU) of a transportation device and calculating a remaining life is disclosed. The method includes detecting, by a controller, data including condition values; comparing, by the controller, the number of previously accumulated condition values with a set number of condition values; constructing, by the controller, a database in response to a determination that the number of previously accumulated condition values is smaller than the set number of condition values; and diagnosing, by the controller, a condition of the CPU in response to a determination that the number of previously accumulated condition values is greater than or equal to the set number of condition values. A system including the controller configured to execute the above method is further disclosed.

Abstract: A self-monitoring system is disclosed. The self-monitoring system may include: a control unit that receives and processes a monitoring signal for monitoring of an operating system; a power unit for supplying default power to the control unit; a communication unit that transmits, to a server unit, at least a portion or all of the monitoring signal processed by the control until; and a watchdog unit that monitors the supply of the default power and the operation of the control unit and, when it is detected that there is an abnormality in the supply of the default power or the operation of the control unit, and blocks data transmission to the server unit via the communication unit. In addition, a self-monitoring method to be applied to a self-monitoring system is disclosed.

Abstract: An apparatus for providing an automotive preventive maintenance service includes: a vehicle information creator that creates vehicle information including vehicle diagnosis information obtained in real time while a vehicle is driven and vehicle state information showing a current state of the vehicle; a vehicle breakdown generation predictor that creates vehicle part states each composed of a preventive maintenance emergency degree and a vehicle part on the basis of the vehicle information, and predicts breakdown generation of the vehicle; an automotive repair shop recommender that recommends an automotive repair shop based on a cost or a distance on the basis of the preventive maintenance emergency degree in at least one of the vehicle part states; and a preventive maintenance service compensator that detects whether to perform a maintenance service about a corresponding vehicle part state according to the preventive maintenance emergency degree, and provides preventive maintenance service compensation.

Abstract: The present disclosure relates to a vehicle safety component diagnosis apparatus that includes: a vehicle state summarizer summarizing a vehicle state on the basis of sensing values collected from a plurality of sensors for a specific period; a vehicle state distribution calculator calculating distribution about summary of a vehicle state for a plurality of specific periods; an abnormal safety component detector detecting an abnormal safety component by determining an abnormal situation about a specific sensing value through the distribution of the summary of the vehicle state; and a precise diagnosis performer performing precise diagnosis about the abnormal safety component. Therefore, according to the present disclosure, it is possible to diagnose defects of safety components using sensing values collected from a plurality of sensors.

Abstract: Disclosed is an apparatus for determining an overworked consumable for a vehicle, the apparatus including: a vehicle information receiver that receives vehicle information thorough an On-Board Diagnostics port; an overwork condition determiner that receives vibration information through at least one vibration sensor installed at a specific position in a vehicle and determines at least one of a plurality of overwork condition types on the basis of the vehicle information and the vibration information; and an overworked consumable determiner that determines at least one overworked consumable on the basis of the determined at least one overwork condition type.

Abstract: An apparatus for determining an overworked consumable for a vehicle includes: a vehicle information receiver that receives vehicle information thorough an OBD; an overwork condition determiner that receives vibration information through at least one vibration sensor installed at specific position in a vehicle and determines at least one of a plurality of overwork condition types on the basis of the vehicle information and the vibration information; an overworked consumable determiner that determines at least one overworked consumable on the basis of the determined at least one overwork condition type; an overwork condition informer that provides the type of a corresponding overwork condition to an automotive AVN (Audio Video Navigation) by detecting that a vehicle arrives around places of overwork condition types by tracking movement of the vehicle; a consumable replacement cycle predictor that predicts a replacement cycle by calculating the accumulated amount of overwork degree of at least one overworked con

Abstract: The present disclosure relates to a vehicle safety component diagnosis apparatus that includes: a vehicle state summarizer summarizing a vehicle state on the basis of sensing values collected from a plurality of sensors for a specific period; a vehicle state distribution calculator calculating distribution about summary of a vehicle state for a plurality of specific periods; an abnormal safety component detector detecting an abnormal safety component by determining an abnormal situation about a specific sensing value through the distribution of the summary of the vehicle state; and a precise diagnosis performer performing precise diagnosis about the abnormal safety component. Therefore, according to the present disclosure, it is possible to diagnose defects of safety components using sensing values collected from a plurality of sensors.

Abstract: An apparatus for providing an automotive preventive maintenance service includes: a vehicle information creator that creates vehicle information including vehicle diagnosis information obtained in real time while a vehicle is driven and vehicle state information showing a current state of the vehicle; a vehicle breakdown generation predictor that creates vehicle part states each composed of a preventive maintenance emergency degree and a vehicle part on the basis of the vehicle information, and predicts breakdown generation of the vehicle; an automotive repair shop recommender that recommends an automotive repair shop based on a cost or a distance on the basis of the preventive maintenance emergency degree in at least one of the vehicle part states; and a preventive maintenance service compensator that detects whether to perform a maintenance service about a corresponding vehicle part state according to the preventive maintenance emergency degree, and provides preventive maintenance service compensation.

Abstract: Disclosed is a method of monitoring a problem related to a railroad car by a railroad car monitoring apparatus, the method including: selecting a monitoring target of the railroad car; selecting a diagnosis reference related to the monitoring target; measuring travelling data related to the monitoring target while the railroad car travels; drawing a result value of the characteristic function according to the travelling data and comparing each of the travelling data with a reference value in a normal state and determining whether a defect is generated in the monitoring target.

Abstract: Disclosed is a railway vehicle major component and system diagnosis apparatus, which includes: a railway vehicle state summarizer that generates a feature value for at least one major component and system of a railway vehicle by summarizing sensing values collected through a plurality of sensors for a first period as a multi-dimensional railway vehicle parameter; a database generator that generates a database for at least one major component and system of a railway vehicle by normally distributing a plurality of feature values accumulated for a second period composed of a plurality of continuous first periods; and a railway vehicle diagnosis performer that detects and precisely diagnose abnormal situations in at least one major component and system of a railway vehicle on the basis of the database for major components and systems.

Abstract: Disclosed is a method of monitoring a problem related to a railroad car by a railroad car monitoring apparatus, the method including: selecting a monitoring target of the railroad car; selecting a diagnosis reference related to the monitoring target; measuring travelling data related to the monitoring target while the railroad car travels; drawing a result value of the characteristic function according to the travelling data and comparing each of the travelling data with a reference value in a normal state and determining whether a defect is generated in the monitoring target.

Abstract: The present invention relates to a method for monitoring a signal having a multi-band frequency. The method for monitoring a signal having a multi-band frequency detected in a target to be monitored includes: dividing the multi-band frequency into at least two regions; setting update periods to be different from each other for each of the divided frequency bands; and displaying monitoring states of the divided frequency bands depending on the update periods set to be different from each other.

Abstract: A signal measuring/diagnosing system and method, and methods and systems in which the same are applied to individual devices, which are capable of measuring and diagnosing a target signal. A first exemplary embodiment of the present invention provides a signal measuring/diagnosing system that measures and diagnoses signals of a target system, including: an analog/digital converter that converts analog signals of the target system into digital signals and corrects the converted digital signals; a signal pre-processor that sets analysis target frequency bands so as to selectively store signals, analyzes target frequencies and frequencies for each band, and determines a failure of the target system based on the analyzed frequencies; a local server that selectively stores data and signals transmitted from the signal pre-processor, diagnoses a state of the target system based on the transmitted data and signals, and communicates with an external device.