Hello! Kindly guide from where I can get datasets for Induction Motor Rotor Bar fault detection? Specifically does any one have access to data from LAII Laboratory of University of Poitiers (France)? It is not accessible through the link http://laii.univ-poitiers.fr/ given in the paper: Mario E. and Ali C. (2005). BROKEN BAR DETECTION IN INDUCTION MOTORS - Using non intrusive torque estimation techniques. In Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics - Robotics and Automation, pages 144-149, DOI: 10.5220/0001156901440149
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Dear Muhammad Mubashir Hussain,
I suggest you to see links and attached files on topic.
Sensorless fault diagnosis of induction motors - Semantic Scholar
https://pdfs.semanticscholar.org/.../fbad72bf33d56f8ea19cd13e84 ...
An Intelligent System for Induction Motor Health ... - Semantic Scholar
https://pdfs.semanticscholar.org/3173/c2ef9d31e856f98255edd4eb6d79c3c74398.pdf
Statistical analysis on a case study of load effect on PSD technique for ...
https://ieeexplore.ieee.org/document/1234558/
Rotor Bar Fault Monitoring Method Based on Analysis of Air-Gap ...
ieeexplore.ieee.org/document/6418023
Best regards
I basically desire dataset for training my ML based condition monitoring system for detecting Induction motor faults including rotor bar faults.
Check from here :
1. data.world
2. google dataset search engine
3. kaggle
Thanks! Data not available using google dataset. However, do you the experience of getting data in .mat or .txt format using data.world? Am searching through the long options that are appearing.
But you DATASET is unavailable in UCI.
if you have found it in any other format, then you can convert it in excel or online by Convertio or other online tool.
Thanks for the idea. Currently I am on the lookout for data to be available in any format.
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