Case Study: Schneider Electric achieves predictive maintenance and faster contactor development with MathWorks

Combining Model-Based Design with AI in Electrical Systems Improves Industry Operations

Schneider Electric needed a faster, more reliable way to estimate the remaining useful life of its contactors and move from reactive maintenance to proactive service. Working with MathWorks, the company used MATLAB and Simulink as part of a Model-Based Design and AI approach to develop a predictive maintenance capability for its TeSys Giga contactor.

With MathWorks, Schneider Electric modeled, simulated, and generated code for the embedded algorithm instead of building it manually. The result was a dramatic reduction in development time: test simulation dropped from about four-and-a-half months to an hour, and overall development for the contactor was cut from nearly three years to six months. The new function has been in use since 2021, helping customers plan maintenance more efficiently and avoid costly production interruptions.

Schneider Electric

Silvio Rizzuto

Principal Technical Expert