Back To Top
Machine Learning in the Process Industries Machine Learning in the Process Industries
The Challenge

The Challenge

Industrial processes have become increasingly advanced as innovation continues to shape the modern world. Complex modern processes utilize thousands of industrial sensors, sophisticated process control systems, and a myriad of other industrial data systems in the safe and efficient operation of these facilities. 

Today, however, much of this data remains siloed and utilized by specialists, yet very little of this data is utilized creating difficulties in scheduled maintenance and process optimization. Machine learning solutions could be leveraged here to ingest large quantities of data for identifying hidden operating patterns. These insights can then be leveraged to achieve operational excellence.
The Solution

The Solution

Technical advancements like cloud computing, object databases and artificial intelligence have begun to be utilized across the process industries with profound impact. Spartan Controls data science professionals have been focusing on applying tools like machine learning to process industry challenges associated with critical process and equipment reliability. 

We develop and provide advanced data driven solutions for industrial soft sensors and predictive modelling, predictive maintenance applications, optimal and self-learning adaptive control, and energy and emissions management.