Motor fault online advanced early warning system based on current magnetic signals and higher harmonic diagnosis technology

Abstract

The invention discloses a motor fault online advanced early warning system based on current magnetic signals and higher harmonic diagnosis technology. The system comprises a sensing layer, a transmission layer, a platform layer and an application layer; the sensing layer comprises a motor, a current magnetic signal extraction sensor 1, a current magnetic signal extraction sensor 2, a current magnetic signal extraction sensor 3, a multi-way switch, an analog signal program control amplifier, an A / D converter, a central processing unit CPU, a 4G communication module, a Web client server, a motor fault characteristic value expert database server and a client display terminal. The invention belongs to the technical field of motor fault early warning. According to the motor fault online advanced early warning system based on the current magnetic signals and higher harmonic diagnosis technology, equipment does not need to be shut down, normal production is not affected, and the non-contact current magnetic signal extraction sensors are used for measuring the waveform of current at a motor power supply.

Description

technical field [0001] The invention relates to the technical field of motor fault early warning, in particular to an online motor fault early warning system based on current magneto-induced signal and high-order harmonic diagnosis technology. Background technique [0002] According to the comprehensive research report on the development of China's motor industry, as of 2021, the market size of my country's motor industry will be about 885.067 billion yuan, of which the generator market size will be about 452.822 billion yuan, and the motor market size will be about 432.245 billion yuan. Its application fields are also very wide. [0003] For motor maintenance, condition repair is the best maintenance mode, but it is also the most difficult to implement effectively. The key to implementing the condition-based maintenance mode is to be able to use scientific monitoring, inspection, diagnosis and other means to obtain and fully grasp the data of the motor’s operating status i...

AI Technical Summary

Problems solved by technology

[0007] Aiming at the deficiencies of the prior art, the present invention provides an online motor fault early warning system based on the current magneto-induced signal and high-order harmonic diagnosis technology, which solves the problem that the existing fault early warning system needs to install a large motor system. Multiple sensors, high cost; incomplete detection, such as uneven insulation and air gap of the coil, the vibration method cannot detect; the accuracy is low, the infrared method uses image processing, which is greatly affected by the software algorithm; The method is related to the thermal radiation rate, which is greatly disturbed by radiation and the surface of the test piece; the detection is not comprehensive, and the interpretation of the test results is complicated, which cannot be intuitively displayed to customers.

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