Razor Labs at Trust.AI Consortium: Pioneering AI Decision-Making Research
Predictive maintenance is equipment maintenance that is based on the ability to predict equipment failures, by leveraging real-time data from various sensors and applying AI algorithms.
Transforming Mining Equipment Reliability with Predictive Maintenance
Predictive maintenance is equipment maintenance that is based on the ability to predict equipment failures, by leveraging real-time data from various sensors and applying AI algorithms.
Maximizing Condition Monitoring Success: Five Key Factors to Consider
When appropriately implemented, Condition Monitoring systems can have an immense positive impact on mining site operations. These are five key things to consider when introducing condition monitoring to ensure these programs succeed in providing value for mining sites.
Quantifying the Impact of DataMind AI™ on Mining Site’s Operations
By Razor Labs 2 min read SHARE The move towards data-driven strategies in industrial maintenance marks a significant evolution in approaching equipment reliability and operational efficiency. Our team of experts has collected data from several selected sites where DataMind AI™ was deployed at the beginning of 2023. This blog post summarizes the average impact of […]
Case Study: Leading gold miner reduces unscheduled crusher downtime with DataMind AI
By Razor Labs 5 min read Download PDF SHARE The challenge The customer faced significant reliability challenges related to the site’s crushing circuit. The site experienced an average annual downtime of 250 hours. The financial impact of this unscheduled downtime and the associated lost throughput was estimated at $22,000/hour. The recurring failures resulted in increased […]
