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A comparison study between acoustic sensors for bearing fault detection under different speed and load using a variety of signal processing techniques

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1080/10402004.2010.533817
AuthorSearch for: ; Search for: 1; Search for: 1; Search for: 1
Affiliation
  1. National Research Council of Canada. Aerospace
FormatText, Article
SubjectAcoustic features; Acoustic Sensors; Air-coupled; Air-coupled ultrasonic transducer; Air-coupled ultrasounds; Analysis techniques; Baseline sensor; Bearing fault; Bearing fault detection; Comparison study; Damage diagnostics; Defect size; Detection capability; Different speed; High resolution; Laboratory test; Non-contact sensors; Operational conditions; Piezoelectric Ultrasonic Transducer; Radial loads; Rolling Element Bearing; Shaft speed; Signal processing technique; Time frequency domain; Ultrasound transducers; Accelerometers; Bearings (structural); Damage detection; Defects; Fault detection; Piezoelectricity; Roller bearings; Rollers (machine components); Rolling; Signal detection; Signal processing; Ultrasonic equipment; Ultrasonic measurement; Ultrasonic propagation; Ultrasonic scattering; Ultrasonic sensors; Ultrasonic transducers; Ultrasonic waves; Ultrasonics; Wavelet transforms; Piezoelectric transducers
Abstract
The use of ultrasonic sensor technology to detect incipient and evolving defects in rotating components such as bearings and gears is more desirable due to their high resolution. In a previous study, the sensitivity of a variety of sensors including an air-coupled ultrasound transducer to bearing faults was analyzed and thoroughly discussed. This article investigates the effectiveness of two ultrasonic sensors, namely, air-coupled and piezoelectric ultrasound transducers for rolling element bearings damage diagnostics. The former is a noncontact sensor and the latter is a contact sensor. An accelerometer was also used as the baseline sensor for comparison purposes. A series of tests was carried out on a laboratory test rig running with defective and undamaged healthy bearings under variable shaft speeds and several radial loads. The data were analyzed using selected signal processing techniques covering time, frequency, and advanced joint time-frequency domains. The results showed that certain acoustic features were responsive to the variation of operational condition and the damage; the detection capability of the sensors varied depending on the defect size, its location, as well as the applied signal analysis technique. © 2011 Crown Copyright.
Publication date
In
  • Tribology Transactions 54, no. 2 (2011): 179–186.
LanguageEnglish
Peer reviewedYes
NPARC number21271457
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Record identifier5045deb7-2300-4073-a3f0-c72e38750e2a
Record created2014-03-24
Record modified2020-04-21
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