Predictive Maintenance of Motor Using Machine Learning |
Author(s): |
| Siddhesh Nandakishor Darje , Viva Institute of Technology; Siddhesh Darje, Viva Institute of Technology; Premchandra Kumbhar, Viva Institute of Technology; Nilesh Marchande, Viva Institute of Technology; Deepak Sajnekar, Viva Institute of Technology |
Keywords: |
| Predictive Maintenance, Fault Diagnosis, Anomaly Detection, Deep Learning, Machine Learning, Induction Motor |
Abstract |
|
Condition covering together with prophetic conservation of electric motors and other outfit used by the assiduity avoids severe profitable losses performing from unforeseen motor failures and greatly improves the system Responsibility. This paper describes a Machine knowledge cadre for prophetic conservation, grounded on Machine Learning approach. The system was tested on a real diligence illustration, by developing the data collection approach and comparing it to the simulation tool analysis. Data has been collected by colored detectors. With the help of this paper, we want to cover and increase the life span of Electric motor and other outfits. |
Other Details |
|
Paper ID: IJSRDV10I90045 Published in: Volume : 10, Issue : 9 Publication Date: 01/12/2022 Page(s): 70-71 |
Article Preview |
|
|
|
|
