Robotized coal machine fault audio frequency recognition and diagnosis method
An audio recognition and diagnosis method technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve the problems of high investment cost, large network area, difficult management and maintenance to continuously follow up on daily inspection, etc. The effect of reducing algorithm complexity, improving accuracy and robustness, and reducing the amount of data processed by the network
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[0039] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other implementations obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.
[0040] Such as Figure 1 ~ Figure 4 As shown, the present invention discloses a fault audio recognition and diagnosis method of a robotized coal machine, including:
[0041] S1: Preprocessing the collected coal mine equipment sound information to obtain preprocessed sound information with several short-term sound frames. Due to the physical characteristics of the sound signal itself and the environmental factors of the sound signal collection, the collected so...
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