BEARING COMPOUND FAULT ACOUSTIC DIAGNOSIS BASED ON IMPROVED BLIND DECONVOLUTION ALGORITHM
Transactions of the Canadian Society for Mechanical Engineering, 2015In the progress of bearing fault acoustic testing, signals picked up by acoustic sensors are usually mixed with fault source signals and other noise signals due to the complexity of mechanical signals and various interference sources. In order to solve the above problems, an improved blind deconvolution algorithm is put forward. The proposed algorithm
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