Characterisation of major fault detection features and techniques for the condition-based monitoring of high-speed centrifugal blowers

Research output: Contribution to journalArticlepeer-review

Authors

Colleges, School and Institutes

External organisations

  • Loughborough University
  • Qatar University

Abstract

This paper investigates and characterises the major fault detection signal features and techniques for the diagnostics of rotating element bearings and air leakage faults in high-speed centrifugal blowers. The investigation is based on time domain and frequency domain analysis, as well as on process information, vibration, and acoustic emission fault detection techniques. The results showed that the data analysis method applied in this study is effective, as it yielded a detection accuracy of 100%. A lookup table was compiled to provide an integrated solution for the developer of Condition-Based Monitoring (CBM) applications of centrifugal blowers. The major contribution of this paper is the integration and characterisation of the major fault detection features and techniques.

Details

Original languageEnglish
Pages (from-to)184-191
Number of pages8
JournalInternational Journal of Acoustics and Vibrations
Volume21
Issue number2
Publication statusPublished - 1 Jun 2016