Manufacturing and remote sites have multiple rotary machines. e.g., pumps, drives, gearboxes, compressors, etc. These are critical assets; the failure of any one of them can cause severe disruption to the production lines, potentially even leading to line or even plant shutdown.

This is leading to O&M teams spending several million dollars annually as part of maintenance contracts with OEMs & service providers for maintaining critical equipment. This is apart from the even higher opportunity costs incurred due to productivity losses (up to 50%).

Earlier (in Industry 3.0), it was both cumbersome and expensive to monitor the health of this equipment. Hence such machines were not given importance vis-a-vis health monitoring. But now, with AI-IoT-based solutions, these activities can be more efficient and effective.

The solution from Tredence is designed to

Enable comprehensive condition monitoring of all equipment in one location that is both cost effective and adaptable to various operational environments.
Deliver predictive and prescriptive alerts to the plant O&M teams ahead of time to minimize failures through Remaining Useful Life (RUL) and Time to Failure (TTF) estimations.

The Tredence Advantage:

A deep learning-powered AI engine capable of detecting hidden patterns
The Azure-Databricks-led architecture aids in the efficient processing of high volume, high frequency streaming data while optimizing cloud storage and computing costs.
Accelerated deployment to the Azure IoT Edge, enabling high offline performance.

Other highlights:

Dedicated center of excellence (CoE) for AIoT, smart manufacturing, Edge AI, and digital twins
Deploy end-to-end, enterprise-grade AI-powered industrial IoT solutions for industry X.0 initiatives.
Support in creating resilient cyber-physical frameworks & solutions for stable manufacturing operation

AI-Driven Predictive Maintenance (IIoT) & Smart Manufacturing by Tredence

de Tredence Inc