Prediction with Precision
An Edmonton entrepreneur is completely disrupting the field of maintenance engineering with his patent-pending vibration sensors.
Industrie 4.0 and digitalization offer optimization opportunities for operations and maintenance functions. Innovations such as digitalization, artificial intelligence (AI), machine learning (ML), neural networks, and cloud computing have raised the capability to collect, analyze and trend equipment condition/health in real time.
Founded two years ago, the company has created a breakthrough monitoring system called RotationLF. Using wireless sensors and Cloud-based computing, the system collects data continuously on rotating equipment such as pumps, compressors and drive motors.
Nanoprecise's VibrationLF is an AI based predictive tool for rotating equipment. Deep neural network based algorithms, highly accurate nanotechnology-enabled sensors, and cloud computing accurately predict the remaining useful life of equipment
Failure analysis is a big business in industries such as oil refineries and chemical plants. When critical equipment such as bearings and gears fail, it can lead to unplanned maintenance shutdowns that have a major impact on a company’s productivity and profitability.