Prognostic Health Monitoring
Advanced Asset Heath Monitoring
An AI tool that uses Machine Learning and Data Analytics to perform Prognostic Health Monitoring for Anomaly detection, Fault Diagnostics and also to predict the remaining useful life of the spare parts/assets.
Prognosis is a difficult task requiring precise, adaptive and intuitive models to predict future machine health states. Numerous modeling techniques have been proposed in the literature and implemented in practice. Artificial Intelligence outperforms the traditional methods thus saving time, money and resources.
We take your Machine Health very seriously!
All products are susceptible to wear/breakdown with usage over time and the breakdown of the product is directly conducive to customer dissatisfaction, time and monetary losses. It is therefore critical to monitor the health of all assets to avoid any untimely breakdown.
Prognostic Health Monitoring
Everyday we operate and work with different machineries and at some point, in time, they breakdown. Though with the advancement of technologies, we can predict the downtime so that we are ready with the alternate, Prognostic Health Management (PHM) systems are some of the main protagonists of the Industry 4.0 revolution.