Detection of Self-Aligning Roller Bearing Fault by Asynchronous Adaptive Noise Cancelling Technology

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概要

• 論文の詳細を見る

• An effective method for improving the signal-to-noise ratio from measurements of bearing housing vibration is presented.The method is based on the conventional adaptive noise cancelling (ANC) technique principle;it varies the main signal input and reference signal input.Since the main and reference inputs signals are collected at different times, this method is called asynchronous adaptive noise cancelling (AANC).It can improve the signal-to-noise ratio, as in the case of the detecting bearing faults when vibration signals of machinery are collected under low-frequency noise condition.In combination with AANC, statistical analysis, enveloping spectrum analysis techniques are used for detection of bearing fault and diagnosis.Experimental result has shown that these techniques can be made more effective only after AANC has reduced the background noise from the diagnostic signals.A new approach is proposed to the traditional fault detecting for self-aligning roller bearings when the shaft speed is low (250rpm) or high (1000rpm) condition.

• 一般社団法人日本機械学会の論文
• 1999-03-15

著者

• Nezu Kikuo

  Department Of Mechanical Engineering Gunma University

• Yumin SHANO

  Department of Mechanical System Engineering, Faculty of Engineering, Gunma University

• Shao Y

  Gunma Univ. Gunma Jpn

• Shao Yimin

  Department of Mechanical System Engineering, Faculty of Engineering, Gunma University

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• Stress Waves in an Infinite Medium under the Diametrical Concentrated Impact Loads on the Spherical Cavity
• Detection of Self-Aligning Roller Bearing Fault by Asynchronous Adaptive Noise Cancelling Technology
• The Transient Stress in an Elastic Half-space Subjected to a Semi-infinite Line Load varying as Unit Step Function on Its Surface
• Transient Stress in an Elastic Sphere under Diametrical Concentrated Impact Loads

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