Vibration-Based Condition Monitoring of Helicopter Gearboxes Based on Cyclostationary Analysis

Author:

Mauricio Alexandre1,Zhou Linghao2,Mba David3,Gryllias Konstantinos1

Affiliation:

1. Department of Mechanical Engineering, KU Leuven, Dynamics of Mechanical and Mechatronic Systems, Flanders Make, Box 2420, Celestijnenlaan 300, Leuven 3001, Belgium

2. School of Engineering, London South Bank University, 103 Borough Road, London SE1 0AA, UK

3. Faculty of Technology, De Montfort University, Leicester LE1 9BH, UK

Abstract

Abstract The core of a helicopter drivetrain is a complex planetary main gearbox (MGB), which reduces the high input speed generated by the engines in order to provide the appropriate torque to the main rotors and to other auxiliary systems. The gearbox consists of various shafts, planetary gears, and bearings, and operates under varying conditions under excessive friction, heat, and high mechanical forces. The components are vulnerable to fatigue defects and therefore health and usage monitoring systems (HUMS) have been developed in order to monitor the health condition of the gearbox, focusing toward early, accurate, and on-time fault detection with limited false alarms and missed detections. The main aim of a HUMS is by health monitoring to enhance the helicopters' operational reliability, to support the maintenance decision-making, and to reduce the overall maintenance costs. The importance and the need for more advanced and accurate HUMS have been emphasized recently by the postaccident analysis of the helicopter LN-OJF, which crashed in Norway in 2016. During the last few decades, various methodologies and diagnostic indicators/features have been proposed for the monitoring of rotating machinery operating under steady conditions but still there is no global solution for complex structures. A new tool called improved envelope spectrum via feature optimization-gram (IESFOgram) has been recently proposed by the authors, based on cyclostationary analysis, focusing on the accurate selection of a filtering band, under steady and varying speed conditions. Moreover, the cyclic spectral coherence (CSCoh) is integrated along the selected frequency band leading to an improved envelope spectrum (IES). In this paper, the performance of the tool is tested on a complex planetary gearbox, with several vibration sources. The method is tested, evaluated, and compared to state-of-the-art methods on a dataset captured during experimental tests under various operating conditions on a Category A Super Puma SA330 main planetary gearbox, presenting seeded bearing defects of different sizes.

Publisher

ASME International

Subject

Mechanical Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Fuel Technology,Nuclear Energy and Engineering

Reference14 articles.

1. A Study on Helicopter Main Gearbox Planetary Bearing Fault Diagnosis;Appl. Acoust.,2017

2. Bearing Signal Separation of Commercial Helicopter Main Gearbox;Procedia CIRP,2017

3. Feedback on the Surveillance 8 Challenge: Vibration-Based Diagnosis of a Safran Aircraft Engine;Mech. Syst. Signal Process.,2017

4. Vibration Based Condition Monitoring of Wind Turbine Gearboxes Based on Cyclostationary Analysis,2018

5. Use of the Cepstrum to Remove Selected Discrete Frequency Components From a Time Signal,2011

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