Industrial innovative Wireless Real-Time Monitoring (Industrial IoT 4.0) is a permanently-installed technology that uses unique sensor technology, wireless data delivery, and advanced analytics to continuously monitor for all rotary machinery equipment like motors, pumps, fans, blowers, turbines, etc.
Predictive maintenance is a proactive method that employs condition monitoring technologies to track asset health and identify potential defects in real-time. It assists in predicting when maintenance is required to minimize equipment downtime and associated expenses.
Overall equipment effectiveness is a maintenance KPI that determines how productive an asset is. It can also be used to identify underperforming assets and link them to one or more of the three basic causes of underperformance (availability, performance and quality).
Most of the industries still employ preventive maintenance programs, while few large industries have migrated to predictive maintenance initiatives. In preventive maintenance programs, also commonly known as Planned Preventive Maintenance (PPM) scheme
Maximum demand by definition is the maximum power value, usually the average of 15 minutes or 30 minutes, reached during the billing period or commonly known as integration period. Once the value is higher than the contracted power, the customer will pay a penalty. The measure of power can be either in kVA or kW.
Industrial and Commercial (I&C) consumers account for a very small percentage in terms of numbers, but their revenue contribution is very significant. Thus, any error in the metering system, intentional (fraud) or un-intentional (system error) need to be detected in time and rectified, to avoid delayed revenues and legal disputes.
Health-care sector all over the world is undoubtedly one of the most critical consumer of energy, requiring uninterrupted supply for its support systems like ICU, OT, CPAP, Pulseoximeters, Ventilators, Robotic Systems, USG-ECG machines etc.,.