Sudden failure of equipment causes factories to lose a lot of cost in extended equipment downtime, unavailability of expensive spare parts or personnel to install/repair or delay in the manufacturing of critical goods. Factories perform preventive maintenance to reduce such sudden failure, which increases maintenance costs as parts are replaced based on time schedule rather than their life.

The solution is Predictive Maintenance

Predictive Maintenance (PdM) uses Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) technologies to predict equipment parts failure and calculate remaining useful life (RUL). With the help of Predictive Maintenance, factories can schedule equipment downtime for parts replacement before they break avoiding sudden failure. RUL also allows factories to maximize the use of life of equipment parts rather than replacing them while they may have significant life left.

Einnosys specializes in the use of Artificial Intelligence (AI), specifically – Machine Learning (ML) and Deep Learning (DL) techniques in manufacturing to help achieve –

• Better yields, throughput, OEE & Cycle Time
• Reduce equipment downtime and manufacturing costs
• Estimation of RUL (Remaining Useful Life) of equipment parts