Built-in intelligent fault diagnosing device based on data inosculating pattern recognition and method thereof

A technology of pattern recognition and data fusion, which is applied in the direction of data exchange, signal transmission system, and instruments through path configuration. It can solve the problems of ambiguous and inaccurate diagnostic information, and achieve the improvement of equipment operating conditions, scalability, and safety. Effects of Sex and Reliability

Active Publication Date: 2008-01-23
BEIJING JIAOTONG UNIV
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Because from a diagnostic point of view, any kind

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  • Built-in intelligent fault diagnosing device based on data inosculating pattern recognition and method thereof
  • Built-in intelligent fault diagnosing device based on data inosculating pattern recognition and method thereof
  • Built-in intelligent fault diagnosing device based on data inosculating pattern recognition and method thereof

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[0031] The intelligent diagnostic device for rail transit train embedded faults based on data fusion pattern recognition includes hardware and software. Both hardware and software adopt a functional modular design. The hardware structure is shown in Figure 1, including a data acquisition module and an embedded module. It consists of a signal acquisition unit and a central processing unit. The signal acquisition unit includes a sensor, signal conditioning, AD conversion, DSP (or MCU), digital input module, FLASH memory and CAN bus interface. The signal acquisition unit is directly installed and fixed on the main parts of the train's key equipment to complete the fault diagnosis, calibration and calibration of the sensor, train equipment working state parameter acquisition, signal feature extraction and CAN bus communication. The central processing unit uses an embedded PC with the PC104 bus. PC104 is an industrial control bus specifically defined for embedded control. It is essenti...

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Abstract

The invention discloses a built-in intelligent failure diagnosis device based on data fusion mode recognition in the technical field of intelligent diagnosis of rail transport failure, which comprises a hardware structure and a software structure. The diagnosis device adopts high-speed DPS microprocessor and forms a distributive monitor processing system, that is, a two-level microcomputer structure with a supervisory machine and a subordinate machine with the help of a multiple-stage buffer and streamline mechanism in the high-speed data processing of the former. Besides, in coordination with sensor group information based on data fusion mode recognition and with the help of multiple neural network partial diagnosis and a decision-making level fusion mode recognition and intelligent diagnosis mechanism, the invention is able to realize the data storage, image display and long-distance data transmission, so as to complete the task of failure diagnosis. Therefore, the invention is able to detect the potential failure of key equipments for train, ensure the safety and reliability for the operation of key equipment in train and improve the operation efficiency and safety guarantee to the maximal extent.

Description

technical field [0001] The invention belongs to the technical field of rail transit fault intelligent diagnosis, and in particular relates to an embedded fault intelligent diagnosis device and method based on data fusion pattern recognition. It is especially suitable for rail transit trains with many key equipment and complex structures (including safety evacuation doors, doors, running parts, traction systems, braking systems and on-board signal systems, etc.), and fault diagnosis systems with complex interference signals. Background technique [0002] Statistical analysis of accidents at home and abroad shows that vehicles, signals, tracks and power supply systems are the key equipment that cause rail traffic accidents, especially the vehicles that are related to the safety of passengers are the most important. The vehicle is composed of many key equipment (safety evacuation door, car door, running part, traction system, braking system and on-board signal system, etc.), an...

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Application Information

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IPC IPC(8): G08C19/00H04L12/28
Inventor 贾利民蔡国强秦勇王艳辉张烨周慧娟
Owner BEIJING JIAOTONG UNIV
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