Achieving a representation of asset data conducive to machine learning driven predictive maintenance

Abstract

The success of an operation in industries such as mining, aviation, and industrial manufacturing is heavily dependent on the continuous functioning of complex systems. These complex systems are often considered critical physical assets and their reliability is significantly correlated to a successful and productive operation. The unexpected failure of an asset results in high maintenance costs, loss in profits, reduced human safety, and hazardous environmental impacts.

Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0

“…They have been successfully applied in several field of PdM applications. Some authors [10,30,[46][47][48][75][76][77]107,114,[118][119][120][121] focused on ANN ML algorithms. Some other authors [64][65][66][67]81,82,[84][85][86][87][88]90,116,117] studied RF technique.…”