A hybrid physics and data-driven model for spindle fault detection
- 2 May 2023
- journal article
- research article
- Published by Elsevier in CIRP Annals
- Vol. 72 (1) , 297-300
Abstract
No abstract availableKeywords
Funding Information
- Natural Sciences and Engineering Research Council of Canada
- Sandvik Coromant (IRCPJ-260683)
- Pratt and Whitney Canada
This publication has 8 references indexed in Scilit:
- Monitoring of vibrations and cutting forces with spindle mounted vibration sensorsCIRP Annals, 2019
- Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearingsMechanical Systems and Signal Processing, 2016
- Experimental analysis on fault detection for a direct coupled rotor-bearing systemMeasurement, 2013
- Modelling of angular contact ball bearings and axial displacements for high-speed spindlesCIRP Annals, 2010
- Machine tool spindle unitsCIRP Annals, 2010
- Virtual Design and Optimization of Machine Tool SpindlesCIRP Annals, 2005
- A General Method for the Modeling of Spindle-Bearing SystemsJournal of Mechanical Design, 2004
- IDENTIFICATION OF MULTIPLE FAULTS IN ROTOR SYSTEMSJournal of Sound and Vibration, 2002