Process data analytics in the era of big data

By S. Qin. 2014

363 citations recorded by the source corpus.

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Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming (2019, background): “Torrents of data are routinely collected and archived in process industries, and these data are becoming an increasingly important asset in process control, operations and design [12-14].”
A Survey on Deep Learning for Data-Driven Soft Sensors (2021, background): “Looking at the development of the process industry in recent years, industrial big data is another trend that cannot be ignored [36], [37].”
An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data (2016, background): “Such explosion of data makes these fields endorse the concept and power of big data [1]–[3].”
Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing (2018, background): “With the increasing number of IoT and sensing devices, data generated from manufacturing systems are expected to grow exponentially, producing so called “big data” [16].”
Data Mining and Analytics in the Process Industry: The Role of Machine Learning (2017, background): “Qin [286] details the process data analytics in modern industrial processes in the era of big data.”