Method, system and engineering machinery for electrical fault diagnosis

Abstract

The invention discloses a method, a system and engineering machinery for electrical fault diagnosis. The method for electrical fault diagnosis includes the steps of sending diagnosis signals to a device or a circuit when the fact that the device or the circuit of to-be-detected equipment is connected with a power supply is detected, reading detection signals from the device or the circuit, and then judging whether a fault exists in the device or the circuit based on the detection signals, or includes the steps of sending the diagnosis signals to the device or the circuit based on initiative diagnosis instructions when the initiative diagnosis instructions are received, reading the detection signals from the device or the circuit, and then judging whether a fault exists in the device or the circuit based on the detection signals. By means of the technical scheme, at least two diagnosis modes of electrifying fault diagnosis and initiative fault diagnosis can be provided, and therefore, accurate location of electrical faults can be achieved, work amount of workers is greatly reduced, diagnosis speed and accuracy are improved, and reliable guarantee is provided for safe operation of the equipment.

Description

technical field [0001] The invention relates to an electrical fault diagnosis method, system and engineering machinery. Background technique [0002] With the rapid development of construction machinery, not only the number of construction machinery has increased sharply, but also the functions of various equipment have become more and more powerful, technology updates are changing with each passing day, and electrical control systems are becoming more and more complex. As a result, the difficulty of maintaining equipment is also increasing. When the equipment fails, how to quickly diagnose the failure has become the focus of after-sales maintenance of construction machinery. [0003] figure 1 A flow chart of an electrical fault diagnosis method in the prior art is shown. In the prior art, when electrical equipment fails, the staff usually analyzes the possible fault point based on their own professional experience. When the staff cannot judge the fault point, sometimes it...

AI Technical Summary

Problems solved by technology

[0004] It can be seen that the existing electrical fault diagnosis method requires a high level of professionalism for the staff, and the troubleshooting of fault points may need to be carried out one by one, which greatly reduces the efficiency of troubleshooting

Moreover, due to the need to rely on the experience of the staff for diagnosis, it is easy to make misjudgments or inaccurate judgments

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