The challenge put to every plant maintenance program is to lower the prohibitively expensive cost of properly maintaining bearings, gear assemblies, couplings and a wide variety of industrial process related components. This can be accomplished through on-line monitoring of machinery and process parameters including vibration, temperature and pressure and the implementation of maintenance schedules and procedures. Predictive maintenance practices provide dramatically-reduced, unplanned bearing failure rates and production interruptions, improved product quality as well as reduced spare parts inventory and labor costs.

The ICHM^® Sensor System allows collection of data from separate nodes to be analyzed by the System Health Monitor (SHM^®) and displayed as useable information that a Plant Manager can use to schedule repairs, adjustments, or service. With this information, the manager can also determine which lines are running most efficiently in order to configure the production floor for the highest output.