During the operation of diesel locomotives, core equipment needs better new technologies that can identify early faults to provide locomotive detection services to ensure the safety of personnel and equipment; the maintenance department also requires the prediction and tracking of the fault development status of each component of the locomotive equipment in order to scientifically arrange maintenance plans and prevent unexpected accidents. In order to solve these problems, it is also necessary to support the real-time detection and fault diagnosis research of locomotive equipment. This article studies the online monitoring of locomotive equipment on this basis. Status monitoring is to find faults as early as possible and find out the causes of the faults as soon as possible, providing a basis for further eliminating the faults.
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