Predictive Maintenance

Using an autoencoder in the design of an anomaly detector for smart manufacturing

According to the smart manufacturing paradigm, the analysis of assets’ time series with a machine learning approach can effectively prevent unplanned production downtimes by detecting assets’ anomalous operational conditions. To support smart …

Fault detection and explanation through big data analysis on sensor streams

Fault prediction is an important topic for the industry as, by providing effective methods for predictive maintenance, allows companies to perform important time and cost savings. In this paper we describe an application developed to predict and …