Hidden danger and fault feature extraction method for train braking system

Abstract

The invention relates to a hidden danger and fault feature extraction method for a train brake system, which comprises the following steps of acquiring real-time operation data of the brake system via a sensor mounted on a train, acquiring state data and a command signal in an operation process of the brake system via a vehicle-mounted network, carrying out multiple sensor network data fusion processing on the real-time operation data, the state data and the command signal to obtain source data of hidden danger and fault feature extraction, preprocessing the source data, classifying to obtain data of different brake stages, adopting corresponding feature extraction algorithms for the different brake stages respectively to obtain features of the different brake stages, selecting a representative feature valve capable of reflecting an operation state of the brake system from the features, and removing redundancy among the features to obtain the final hidden danger and fault feature of the brake system. Compared with the prior art, the method has a high accuracy rate of the extracted data and can effectively improve driving safety.

Description

Technical field [0001] The invention relates to a train fault early warning method, in particular to a method for extracting hidden dangers and fault features of a train braking system. Background technique [0002] With the vigorous development of my country's national economy and the rapid acceleration of urbanization, the problem of traffic congestion has gradually become an obstacle to urban development. Large and medium-sized cities across the country have vigorously developed urban rail transit to solve the increasingly tense traffic problem. As urban rail transit has the characteristics of huge passenger flow, small driving intervals, high operating density, short distance between stations, and frequent traction and braking, this makes the braking system bear a greater burden. The failure of the braking system not only affects the operational quality and safety benefits of urban rail transit, but more importantly, affects the normal life of citizens and the orderly operati...

AI Technical Summary

Problems solved by technology

In the actual vehicle operating environment, due to the high integration of the brake system components of the train, the device is complex, and the brake system is installed at the bottom of the vehicle, the operating site environment is harsh, and there are likely to be a series of potential failures

With the advancement of technology, the braking system of urban rail vehicles has a trend of high integration and high complexity, which makes the fault diagnosis and hidden danger warning of the braking system more difficult.

Traditional brake system fault diagnosis methods focus on the diagnosis of fault conditions, mainly using logical judgment, combined with the action status of components in the system to make simple fault judgments, but these existing technical methods can only be used for obvious faults that have occurred. Diagnosis of faults, but cannot give early warning of hidden dangers in the braking system before obvious faults occur

When the brake system has a fault that can be judged, it has often affected the normal operation of the urban rail train, ranging from being unable to run on time, to threatening the safety of the vehicle

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