Improving the Efficiency and Sustainability of Electric Motors
Electric Motor Operational Efficiency with ADI OtoSense SMS
Abstract
The motor efficiency drop caused by motor faults or motor anomalies has drawn increasing attention since they can persist over long time periods and can lead to significant economic losses. This article describes how common motor failures affect the efficiency of motor operation. It will discuss how the OtoSense™ Smart Motor Sensor (SMS), a predictive diagnostic maintenance solution, enables motors to operate at high efficiency. Two case studies are presented to show how the application OtoSense™ SMS can reduce CO₂ and electric energy costs.
Introduction
Industry 4.0 is seen as the new era of manufacturing, combining technology, robotics, artificial intelligence, and automation to create an efficient and effective manufacturing process. Industrial use cases represent 37% of the energy used worldwide, with 70% consumed by motors. If motors run at maximum efficiency, a 10% reduction in global electricity use is possible. But what does that mean? Increasing operational efficiency through condition-based monitoring and predictive maintenance (CbM/PdM) can significantly enhance business performance in terms of productivity, quality, and logistics management—helping companies meet sustainability metrics and other strategic goals. Analog Devices OtoSense™ Smart Motor Sensor (SMS) technology is one of the leading CbM/PdM technologies in the market today. This article outlines how OtoSense SMS technology can make electric motor operation more energy efficient.