Predicting equipment failure

Predicting equipment failure
FORECYTE from Nidec Motor

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Equipment failure at a water treatment plant often leads to big costs, not to mention stress on the operations staff.

Nidec Motor’s FORECYTE stand-alone remote monitoring platform takes that stress off, as battery-powered wireless sensors are used to measure equipment vibration and temperature. This allows operators to transition from reactive/preventive maintenance over to predictive maintenance since it predicts when equipment failure might be imminent, allowing operators to use and maintain their equipment more effectively.

The FORECYTE device attaches to equipment magnetically; collects continuous, real-time data; and enables operators to visualize deteriorating equipment health. The data is sent wirelessly from the sensor to a gateway and from there through either Ethernet, Wi-Fi, or cellular to a cloud portal where it is aggregated, stored, analyzed, and visualized using a web interface. Users can access the data anytime from anywhere using a browser on a web-enabled device.

Thomas Schardt, Nidec Motor senior director of Internet of Things, or IoT, says that innovation in low-cost sensor, communication, and analytical technology is driving demand for remote wireless condition monitoring in multiple industries, including water and wastewater, manufacturing, and food and beverage.

“End users expect access to real-time data at a much lower cost compared to traditional route-based monitoring,” Schardt says. “There is a global trend for companies to use IoT to gather real-time data and achieve quantifiable results that deliver better performance and cost savings.”

The monitoring technology can be enhanced with predictive analytics. Using algorithms, the monitoring data can be modeled to identify patterns that help users intervene on imminent breakdowns and predict future events. Additional sensors and analytics being developed by Nidec Motor will empower users to make smarter, performance-based equipment decisions, ultimately reducing operating costs and extending equipment life.

“We recognize an increasing demand to monitor and assess machine health condition in order to avoid unexpected downtimes and loss of production time,” Schardt says.
Using the information, operators can identify and address failing equipment early and schedule the ideal time to perform service. The FORECYTE technology helps users identify the root cause of problems and define the timing and scope for predictive maintenance. The platform is scalable and can be integrated with SCADA and legacy systems. 888-637-7333;


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