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Build ML algorithms to monitor the degradation of batteries & manufacturing equipment in real-time, predict failures earlier, and implement an optimal maintenance strategy. Solution will be built with no internal expertise required and will be customized to individual site's operations.

Solution applies to: battery, fuel cells, balance of plant

About Owtrun Reliability:

Owtrun is a predictive maintenance solutions provider. We use IIoT data to empower manufacturing firms the ability to predict equipment failure, resulting in reduced downtime, cost savings, and efficient operations. Our cloud SaaS solution is underpinned by Reliability Engineering domain knowledge & Machine Learning.

Project Objectives:

Predict battery degradation for: 1) operational fleet monitoring; 2) quality assurance; 3) manufacturing asset
Reduce downtime & save maintenance costs, increase efficiency of maintenance work & execution
Safe & sustainable operations

What THEY bring to the table:

Asset management framework, reliability engineering methodology
Machine Learning: build, test, and deploy algorithms
Battery & engineering domain knowledge
Project management & consulting services

What YOU will bring to the table:

Manufacturer or Asset Manager with data from their assets
We understand the resource constraints on manufacturers, and hence we do all the work & seek only feedback from the team.