

Nanoprecise’s AI-based Predictive Maintenance Solution combines a wireless 6-in-1 IIoT sensor with advanced AI-driven analytics to continuously monitor machine health and predict failures before they occur. The solution captures vibration, acoustics, RPM, temperature, humidity, and magnetic flux data, using real-time signal processing and physics-based models to identify anomalies, estimate remaining useful life, and optimize asset performance. It helps industries reduce unplanned downtime, improve operational efficiency, lower energy consumption, enhance worker safety, and support sustainability and Net-Zero goals through intelligent condition monitoring and predictive maintenance.
The integrated AI-based solution consists of a unique 6-in-1 IIoT sensor and an AI-based automated analytics platform. The wireless IIoT sensor measures Vibration, Acoustics, RPM, Temperature, Humidity and Magnetic Flux. The analytics platform utilises advanced signal processing algorithms to analyse the 6 streams of data in real time for predicting the remaining time to failure.
The AI-based platform analyses complex machine health data using a combination of Artificial Intelligence and physics-based models to enhance the life of machines. It helps users to track the performance as well as the energy consumption patterns of motor-driven equipment sets, to prevent unplanned downtime and reduce the carbon footprint. It detects patterns automatically by building a prediction model that identifies when a given equipment and its components are approaching the end of their service lives or risk of failures.
The solution helps to determine which assets are consuming higher energy and can help maintenance teams to mitigate any inefficiency in their energy consumption. It not only allows them to reduce the carbon footprint but also enables them to save energy costs for businesses, thereby allowing them to achieve their Net-Zero Goals.
The Predictive maintenance framework of Nanoprecise brings the sensor data from over from the site to the corporate network, to help maximise the value of information. It allows maintenance teams to monitor every aspect of the manufacturing operation, leading to greater productivity and reduced emissions. It also helps improve the safety of the operators with real-time data and predicting issues arising from equipment anomalies. In complicated manufacturing operations, this solution can efficiently monitor the health of critical assets, thereby empowering the maintenance and reliability teams with the right data at the right time.
Nanoprecise Sci Corp, Bangalore. Cell: 089836 15928. Email: [email protected]
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