Anomaly detection and event mining in cold forming manufacturing processes
Predictive maintenance is one of the main goals within the Industry 4.0 trend. Advances in data-driven techniques offer new opportunities in terms of cost reduction, improved quality control, and increased work safety. This work brings data-driven techniques for two predictive maintenance tasks: ano...
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| Veröffentlicht in: | International journal of advanced manufacturing technology 2021-07, Vol.115 (3), p.837-852 |
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| container_title | International journal of advanced manufacturing technology |
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| creator | Nieves Avendano, Diego Caljouw, Daniel Deschrijver, Dirk Van Hoecke, Sofie |
| description | Predictive maintenance is one of the main goals within the Industry 4.0 trend. Advances in data-driven techniques offer new opportunities in terms of cost reduction, improved quality control, and increased work safety. This work brings data-driven techniques for two predictive maintenance tasks: anomaly detection and event prediction, applied in the real-world use case of a cold forming manufacturing line for consumer lifestyle products by using acoustic emissions sensors in proximity of the dies of the press module. The proposed models are robust and able to cope with problems such as noise, missing values, and irregular sampling. The detected anomalies are investigated by experts and confirmed to correspond to deviations in the normal operation of the machine. Moreover, we are able to find patterns which are related to the events of interest. |
| doi_str_mv | 10.1007/s00170-020-06156-2 |
| format | Article |
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| subjects | Acoustic emission Acoustics Advanced manufacturing technologies Anomalies CAE) and Design Cold Cold working Computer-Aided Engineering (CAD Die pressing Engineering Industrial and Production Engineering Irregular sampling Lifestyles Manufacturing Mechanical Engineering Media Management Original Article Predictive maintenance Quality control Sensors Time series |
| title | Anomaly detection and event mining in cold forming manufacturing processes |
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