Power device anomalous detection device and detection method thereof

Abstract

The invention provides a power device anomalous detection device and a detection method thereof. The detection device includes a sensing module, a processing module, an optimizing module and a classifying diagnosis module. The sensing module is used for sensing a power device to obtain a plurality of operation signals. The processing module obtains a plurality of character values from the operation signals. The optimizing module establishes a plurality of factor groups by classifying the character values. The classifying diagnosis module connects with the optimizing module and sends a state signal according to a predetermined rule and the established factor groups. The detection method includes steps of using a signal processing method to obtain the character values from the power device; establishing the factor groups according to relevance of the character values; and obtaining the operation state of the power device through a neural network and an experience rule, and judging whether the operation state is normal or not according to the predetermined rule.

Description

technical field [0001] The invention relates to a monitoring and diagnosis for power equipment operation, in particular to a power equipment abnormality detection device and a detection method thereof. Background technique [0002] Generally speaking, power equipment often suffers from performance degradation and energy consumption increase before a failure occurs, but these phenomena will not immediately affect the operation of the equipment, so they are often not discovered by users. In addition to increasing the probability of failure and shortening the life of equipment, the efficiency of power equipment is reduced and the energy consumption is increased, which has a negative impact on industrial competitiveness and environmental protection. [0003] The diagnosis mode of power equipment (such as motor) mostly uses a sensor to sense the running state of the power equipment, and then transmits the sensed data to the back-end system for further analysis through wired or wi...

AI Technical Summary

Problems solved by technology

However, this mode requires a large amount of data transmission bandwidth. The main reason is that in order to ensure the effectiveness and stability of the analysis and diagnosis, the operating status data received by all sensors should be sent to the back-end system as much as possible.

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