Due to difficult terrains and unpredictable nature of mining operations, reliability is a significant concern in the mining industry. Productivity, safety, and profitability can all be significantly impacted by equipment failure, unanticipated downtime, and accidents. Furthermore, it might be challenging to get spare parts and technical help rapidly due to the isolation of many mining sites.
Solution Overview
Our reliability solution provides data analysis for asset performance measurability and predict failure occurrence across value chain. Our solution utilizes cutting-edge tools like real-time data-analytics, predictive maintenance, and remote monitoring systems. Predictive maintenance approaches can identify probable faults and enable proactive maintenance, decreasing downtime and associated costs.More
Our reliability solution provides data analysis for asset performance measurability and predict failure occurrence across value chain. Our solution utilizes cutting-edge tools like real-time data-analytics, predictive maintenance, and remote monitoring systems. Predictive maintenance approaches can identify probable faults and enable proactive maintenance, decreasing downtime and associated costs. Data analytics can also be utilized to detect trends and patterns for ongoing improvement and enhance equipment performance. By putting this technical solution into practice, companies can operate more consistently and effectively.
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Industry Challenge
Solution highlights
- Supervised learning techniques to predict failure occurrence
- Classification algorithms for both the predictor types
- Deployment of best model using the model diagnostics
- Exploratory data analysis: Data statistics, variable importance, principal component analysis.
Solution Benefits
- Failure prediction in the given time-period
- Upto 20% saving in cost and time
- Upto 10% reduction in unscheduled maintenance