Condition monitoring of helicopter drive shafts using quadratic-nonlinearity metric based on cross-bispectrum

Mohammed Hassan, Joshua Tarbutton, Abdel Bayoumi, Yong June Shin

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Based on cross-bispectrum, quadratic-nonlinearity coupling between two vibration signals is proposed and used to assess health conditions of rotating shafts in an AH-64D helicopter tail rotor drive train. Vibration data are gathered from two bearings supporting the shaft in an experimental helicopter drive train simulating different shaft conditions, namely, baseline, misalignment, imbalance, and combination of misalignment and imbalance. The proposed metric shows better capabilities in distinguishing different shaft settings than the conventional linear coupling based on cross-power spectrum.

Original languageEnglish
Article number6978880
Pages (from-to)2819-2829
Number of pages11
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume50
Issue number4
DOIs
Publication statusPublished - 2014 Oct 1

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Condition monitoring of helicopter drive shafts using quadratic-nonlinearity metric based on cross-bispectrum'. Together they form a unique fingerprint.

Cite this