Multi-model-based high speed train suspension system multi-actuator fault detection and isolation method

A technology for suspension systems and high-speed trains, which is applied in the field of fault diagnosis of high-speed train suspension systems, and can solve problems such as failure detection and isolation of actuators in high-speed train suspension systems that cannot be effectively solved

Active Publication Date: 2015-03-25
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0005] Purpose of the invention: In order to solve the problems in the prior art that cannot effectively solve the fault detection and isolation of high-speed train suspension system actuators, the present invention proposes multi-model-based high-speed train suspension system multi-actuator fault detection and isolation by establishing multiple models. Isolation method that addresses deficiencies of existing technologies

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  • Multi-model-based high speed train suspension system multi-actuator fault detection and isolation method

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Embodiment Construction

[0067] The present invention will be further explained below in conjunction with the accompanying drawings.

[0068] figure 1 For the overall indication, according to figure 1 , the present invention proposes a multi-model based high-speed train suspension system multi-actuator fault detection and isolation method, the specific steps are as follows:

[0069] Step 1: According to figure 2 The vertical structure diagram of the suspension system is shown, and its state space expression is established.

[0070] make x 1 = y · 1 θ ...

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Abstract

The invention provides a multi-model-based high speed train suspension system multi-actuator fault detection and isolation method. The method involves a first bullet train, a trailer and a second bullet train and comprises the following steps that (1) a suspension system, of a two-bullet-train and one-trailer structure, of a train is modeled to obtain a suspension system model; (2) a fault model is built for each actuator of the suspension system of the two-bullet-train and one-trailer structure; (3) a sliding-mode observer matched with each fault model is arranged based on the corresponding fault model, and the corresponding residual quantity is generated; (4) a fault warning threshold value is generated according to the train operating environment and suspension system working conditions, and a logic controller is used for decision making for all residual quantities to judge whether an alarm needs to be given out or not and point out the fault occurrence position. The application of the fault detection and isolation technology is the effective way for improving the system reliability, and an alarm is given in time when a fault occurs, particularly, the fault occurrence position is pointed out when the multiple actuators break down, and fault screening and system maintenance are facilitated.

Description

technical field [0001] The invention relates to the field of fault diagnosis of high-speed train suspension systems, in particular to a multi-model-based multi-executor fault detection and isolation method for high-speed train suspension systems. Background technique [0002] The CRH (China Railway High-speed) high-speed train, namely the "Harmony" EMU, has been officially put into operation in April 2007, and has now realized an EMU train network with a speed of more than 200 kilometers per hour on the main railway lines in my country. Suspension system is an important part of high-speed trains. It is mainly responsible for supporting the car body and bogie, and forming a buffer between the track and the car body to ensure the comfort of the train during operation. Therefore, its reliability requirements are high. In order to improve the safety of high-speed train operation in my country, the research on fault diagnosis of high-speed train suspension system is indispensable...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M17/10
Inventor 冒泽慧顾欣欣姜斌
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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