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 language | English |
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Title of host publication | Modelling and Simulation of Complex Systems for Sustainable Energy Efficiency |
Subtitle of host publication | Contributions to the First International Workshop on Modelling and Simulation of Complex Systems for Sustainable Energy Efficiency, MOSCOSSEE’2021, February 25-26, 2021 |
Editors | Ahmed Hammami, Philippus Stephanus Heyns, Stephan Schmidt, Fakher Chaari, Mohamed Slim Abbes, Mohamed Haddar |
Publisher | Springer, Cham |
Pages | 116-122 |
Number of pages | 7 |
Volume | 20 |
Edition | 1st |
ISBN (Electronic) | 9783030855840 |
ISBN (Print) | 9783030855833, 9783030855864 |
DOIs | |
Publication status | Published - 22 Aug 2021 |
Externally published | Yes |
Event | 1st International Workshop on Modelling and Simulation of Complex Systems for Sustainable Energy Efficiency - Online, Online Duration: 25 Feb 2021 → 26 Feb 2021 Conference number: 1 |
Publication series
Name | Applied Condition Monitoring |
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Publisher | Springer Cham |
Volume | ACM 20 |
ISSN (Print) | 2363-698X |
ISSN (Electronic) | 2363-6998 |
Conference
Conference | 1st International Workshop on Modelling and Simulation of Complex Systems for Sustainable Energy Efficiency |
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Abbreviated title | MOSCOSSEE 2021 |
City | Online |
Period | 25/02/21 → 26/02/21 |