Online monitoring fault diagnosis system and method of train power system

A power system and fault diagnosis technology, applied in the direction of electrical testing/monitoring, can solve problems such as low efficiency and low diagnostic accuracy, and achieve the effect of major technology, fast and accurate diagnosis, and high degree of network automation

Active Publication Date: 2014-07-02
BEIJING JIAOTONG UNIV
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Problems solved by technology

[0003] The object of the present invention is to propose a system and method for on-line monitoring and fault dia

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  • Online monitoring fault diagnosis system and method of train power system
  • Online monitoring fault diagnosis system and method of train power system
  • Online monitoring fault diagnosis system and method of train power system

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Embodiment Construction

[0032] The preferred embodiments will be described in detail below in conjunction with the accompanying drawings.

[0033] The present invention proposes a system for on-line monitoring and fault diagnosis of a train power system, such as figure 1 As shown, it mainly includes: train power equipment, signal detection unit, signal processing unit, and fault diagnosis unit. Train power equipment includes: traction motor, traction converter, braking resistor. The signal detection unit includes: a traction converter input DC current sensor, a traction motor input AC current sensor, a braking resistor input DC current sensor, and a braking resistor temperature sensor. The signal processing unit is the power system signal conditioning board. The fault diagnosis unit is the central node.

[0034] Wherein, the traction motor is connected to the traction converter, and both are connected to the input DC current sensor of the traction converter and the input AC current sensor of the t...

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Abstract

The invention belongs to the field of train fault diagnosis, and particularly relates to an online monitoring fault diagnosis system and method of a train power system. The system mainly comprises a train power device, a signal detection unit, a signal processing unit and a fault diagnosis unit. According to the method, the related state quantity of each device of the power system is obtained through sensors; a signal conditioning board of the power system conducts digital filtering and wavelet de-noising on signals so as to complete elimination of the noise signals and extract the useful signals; a wavelet algorithm is used for completing feature extraction of the wavelet energy spectrum, and the feature quantity of each subsystem is input into a corresponding sub-network to undergo fault diagnosis; the diagnosis results of all the sub-networks are fused at a central node, and fault diagnosis is completed initially; finally, fuzzy fusion is conducted on the diagnosis results of all the sub-networks so as to complete final positioning and diagnosis of faults. The online monitoring fault diagnosis system and method of the train power system have the advantages of being rapid, efficient, high in accuracy rate, high in reliability and high in network automation degree.

Description

technical field [0001] The invention belongs to the field of train fault diagnosis, and in particular relates to a system and method for on-line monitoring fault diagnosis of a train power system. Background technique [0002] With the rapid development of urban rail transit, how to ensure the safe and stable operation of trains has become an important issue, and the power system is a key subsystem of the train. Real-time monitoring of various state quantities of the train power system and system failure Diagnosis is the key to ensure the reliable operation of trains. However, most of the traditional fault diagnosis methods are manually diagnosed, which is time-consuming, labor-intensive, and has low accuracy and reliability, which affects the maintenance, debugging and replacement of the system. Moreover, the train system is intricate, and there are gaps between subsystems and equipment. The interference makes the detection signal distorted by noise interference, which can...

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Application Information

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IPC IPC(8): G05B23/02
Inventor 王磊孟苓辉徐春梅张钢田蓓周朝阳
Owner BEIJING JIAOTONG UNIV
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