Time Domain Identification of Multi-stage Planetary Gearbox Characteristic Frequencies Using Piezoelectric Strain Sensor

O. Graja, K. Dziedziech, A. Jablonski, A. Ghorbel, F. Chaari, T. Barszcz, M. Haddar

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Nowadays, condition monitoring of gearboxes is based on analyzing vibration signal (mostly acceleration, velocity; fewer strain) measured from mechanical components or on analyzing acoustic emission and temperature data. Strain sensors are rarely used because of their high cost, mounting difficulties and their sensitivity harsh environment. They are based on strain gage technology which implements ‘Wheatstone Bridge Conditioner’ to be able to measure strain values. This bridge circuit, unfortunately, becomes non-linear out of the measurement range resulting in significant errors. To avoid those errors, a new technology of piezoelectric strain sensors, relatively new to condition monitoring, emerges: they have good precision since the accuracy is improved and provide good results especially when attempting to do measurements at extremes of the range. In this work, a piezoelectric strain sensor mounted on an industrial planetary gearbox (PG) in vertical direction is used to acquire time domain signals. This latter is introduced to focus on the importance of the new time domain representation of a gearbox dynamic behavior by a such sensor. Finally, an analysis of the RHM sensor time domain data is conducted to identify the PG characteristic frequencies.

Original languageEnglish
Title of host publicationModelling and Simulation of Complex Systems for Sustainable Energy Efficiency
Subtitle of host publicationContributions to the First International Workshop on Modelling and Simulation of Complex Systems for Sustainable Energy Efficiency, MOSCOSSEE’2021, February 25-26, 2021
EditorsAhmed Hammami, Philippus Stephanus Heyns, Stephan Schmidt, Fakher Chaari, Mohamed Slim Abbes, Mohamed Haddar
PublisherSpringer, Cham
Pages116-122
Number of pages7
Volume20
Edition1st
ISBN (Electronic)9783030855840
ISBN (Print)9783030855833, 9783030855864
DOIs
Publication statusPublished - 22 Aug 2021
Externally publishedYes
Event1st International Workshop on Modelling and Simulation of Complex Systems for Sustainable Energy Efficiency - Online, Online
Duration: 25 Feb 202126 Feb 2021
Conference number: 1

Publication series

NameApplied Condition Monitoring
PublisherSpringer Cham
VolumeACM 20
ISSN (Print)2363-698X
ISSN (Electronic)2363-6998

Conference

Conference1st International Workshop on Modelling and Simulation of Complex Systems for Sustainable Energy Efficiency
Abbreviated titleMOSCOSSEE 2021
CityOnline
Period25/02/2126/02/21

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