Work on the intelligent equipment analytics based on data mining, degradation modeling, anomaly detection and prediction by using advanced machine learning technologies.
Know well about the equipment communication protocol, like OPC UA, Modbus, S7, SCADA etc.
Know well about the common mechanical operational mechanism and degradation models.
Have solid knowledge about the machine learning, especially the highly unbalanced data processing, unsupervised fault detection, time series data processing to extract the useful signal by time domain and frequency domain decomposition, prediction by LSTM application.
Have on-hand development and delivery experience on equipment fault detection and predictive maintenance, and CAN implement it by programming in R or Python.