Case Study on Predictive Maintenance

Failure of pH sensors in processes was a costly and concerning issue for a leading chemical company. Engineers at the plant’s Instrumentation and Engineering Department were not satisfied with the performance of the pH sensors they were using. The unexpected interruption of processes affects product quality and regular sensor exchange at the plant had high operating costs.

To solve their challenges, this chemical company made the shift to in-line pH sensors with built in predictive diagnostics that allow them to see when sensor maintenance or replacement will be needed. This change has transformed their pH measurement operations. By continuously monitoring process conditions, sensor slope and reference system impedance values, these digital pH sensors can predict their remaining lifetime and give a calculation, in days, of when sensor calibration and replacement should be performed. See how the company implemented a predictive maintenance program by implementing digital pH sensors.