Self-Aligning Roller Bearings Fault Detection Using Asynchronous Adaptive Noise Cancelling

Abstract

A new method is presented for increasing the signal to noise ratio from measurements of bearing housing vibration. The method is based on the conventional ANC technique principle, it makes some variation on the main signal input and reference signal input Because the signal of the main and reference input are collected at the different time, this method is called asynchronous adaptive noise canceling (AANC). It can improve the signal to noise ratio as to the case of the detecting hearing results when vibration signal of machinery are collected under low frequency noise condition. Experiment 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.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1996
Accession Number
ADP010219

Entities

People

  • Kikuo Nezu
  • Yimin Shao

Organizations

  • Gunma University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Background Noise
  • Ball Bearings
  • Bearings
  • Data Acquisition
  • Detection
  • Detectors
  • Filters
  • Frequency
  • Frequency Domain
  • Identification
  • Measurement
  • Mechanical Engineering
  • Monitoring
  • Noise
  • Piezoelectric Accelerometers
  • Roller Bearings
  • Spectra

Fields of Study

  • Engineering

Readers

  • Acoustics.
  • Radar Systems Engineering.
  • Tribology (the study of the boundary interaction between sliding surfaces, lubrication, wear and friction).