Pre-emptive fault prediction can help manufacturers avoid business losses and is therefore gaining importance across all industries. Accurate and on-time maintenance requires predictive insights on the functioning of equipment, next breakdown forecast, primary faults and their causes, and reasons for downtime. These insights enable businesses to ensure fault-free production.

Business needs

A Fortune 500 American multinational automaker was looking for a solution that would predict faults in their auto parts to proactively ensure fault-free production, thereby saving maintenance time and improving the customer experience. They were looking for a scalable solution that would be able to:

• Process data from disparate sources and in multiple formats
• Predict in real-time, giving them enough time to replace the waned cutting tools

Solution

Gathr enabled the client to implement an end-to-end predictive maintenance solution leveraging out-of-the-box drag-and-drop operators. It helped them effortlessly design a complete solution with the following ready-to-use capabilities:

• Reading data from various sources
• Out-of-the-box data-wrangling transformations
• Data quality management
• Rule-based alerts
• Scalable scoring of trained models
• Data aggregation
• Data profiling
• Monitoring and reporting

Results

• Connected multiple discrete sources
• End-to-end data quality and preparation
• Model lifecycle management
• Out-of-the-box connectors for upstream and downstream integration
• Real-time notifications for tool replacement