On-line diagnosis method for air leakage fault of sintering machine based on spectral feature bilateral detection method
A bilateral detection and spectral feature technology, applied to the analysis of fluids, furnaces, lighting and heating equipment using sound waves/ultrasonic waves/infrasonic waves, can solve problems such as different mechanisms, complex structures, and prone to air leakage faults, and achieve computing resources and Low memory resource occupation, low computational complexity, and improved reliability
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[0037] The present invention is based on the characteristics that the sound signal has a fast transmission speed and is not easy to be blocked. According to the long-term production experience, an important phenomenon of the air leakage fault of the sintering machine is the whistling sound caused by the wind passing through the narrow space. This air leakage produces The sound is generally sharp, and has a certain degree of distinction from the background sound of the factory. Therefore, according to the characteristic of the air leakage phenomenon of the sintering machine, the present invention adopts the method of analyzing the sound signal of the workshop to realize the comprehensive online detection and fault diagnosis of the air leakage fault of the sintering machine. .
[0038] Now take a typical domestic trolley-type sintering machine as an example to illustrate the present invention:
[0039] Detection of the present invention and hardware system see figure 1 . The s...
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