These algorithms use decades’ worth of existing baseline chiller performance data gathered from the systems around the world to detect anomalies and predict breakdowns.
Any concerning issues are flagged to Johnson Controls vibration engineers for immediate attention and further investigation.
The sensors allow continuous collection of data, which is then analyzed on the premises by machine learning algorithms.
Johnson Controls technicians mount sensors on the chiller to measure vibrations from multiple components and locations.
