BISTel, a provider of adaptive intelligence (A.I.) solutions for smarter manufacturing, has announced a new, real-time, equipment health monitoring and predictive maintenance solution, HMP.
HMP provides real-time fault detection, classification and predictive analytics to let customers know when equipment might fail or will require servicing. In addition, it lets customers know the remaining useful life (RUL) of their equipment.
For semiconductor, electronics, automotive, steel and industrial manufacturers, HMP gives an early warning system to let engineers know when a problem might occur.
As a result, the new solution will reduce downtime, servicing costs, and improve overall engineering productivity.
For manufacturers, equipment downtime and failures due to defective or failing components is a drag on productivity, quality and profitability.
BISTel’s HMP solution integrates A.I. based advanced machine learning technologies to help customers detect and classify faults in real-time.
It then uses predictive analytics to determine when faults might occur in the future or when maintenance should be done. As a result, downtime is vastly reduced, and productivity is greatly increased.
“HMP’s ability to detect, analyse and predict real-time will enable our manufacturing customers to accurately know the health of their machines at any point, know the remaining useful life of the machine and when to conduct conditioned based maintenance,” said W.K. Choi, Founder & CEO of BISTel.
“We believe HMP is a winning solution because it boosts productivity and substantially increases business performance across the factory.”
