Predictive maintenance is a proactive maintenance that uses data analysis tools and techniques to detect anomalies in your operation and possible defects in equipment and processes so you can fix them before they result in failure. Predictive maintenance evaluates the condition of equipment by performing periodic or continuous equipment condition monitoring. This maintenance strategy leverages the principles of statistical process control to determine when maintenance tasks will be needed in the future. Research suggests that predictive maintenance could reduce the costs of factory equipment by up to 40 per cent, while reducing downtime by up to 50 per cent.
Sentenance AI enabled IoT Platform
Sentenance is an all-in-one solution applying IoT and AI Machine Learning to facilitate predictive maintenance. Sentenance enables more efficient use of existing assets by providing the ability to predict machine failures and reduce maintenance issues. Sentenance is also embedded with a computerized maintenance management system (CMMS) so it can help identify the causes of delays, whether they’re internal or external, and help set up processes to address these causes. Sentenance provides both devices and platform to help you achieve predictive maintenance in one place. We offer a full set of sensors to collect data from fields, and our solutions cover many industrial problems.
Sentenance Predictive Maintenance Solution
Sentenance’s machine learning is capable of determining when a machine will breakdown. Sentenance can provide sets of sensors to collect data and conduct analytics with machine learning to notify engineers when machine maintenance is required. Sentenance also provides an alert of impending failure. Sentenance Predictive Maintenance solution can help detect anomalies and carry out a root cause analysis, preventing production delays and equipment failures.Download the Brochure