Understanding MTBF in Maintenance: Its Meaning and Role in Predictive Strategies
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.
Case Study Snippet: Visual AI Detects Crusher Liner Wear and Prevents Production Risks
By Razor Labs 5 min read SHARE Discover how DataMind AI™ Visual AI Monitoring helped a ferroalloy site identify subtle material flow anomalies after the jaw crusher – well before visible failure signs appeared. Through continuous monitoring of size distribution trends, the system provided early, actionable insights that enabled proactive maintenance during planned downtime – […]
DataMind AI™ An all-in-one predictive maintenance solution
By Michael Zolotov 4 min read SHARE A year and a half ago, ChatGPT burst onto the scene, sparking an intense race among tech giants like OpenAI, Microsoft, and Facebook to develop the most advanced AI models. Despite initial rapid advancements, the AI field has hit a plateau, prompting a reevaluation of how we push […]
Razor Labs Q1 2025 Summary Newsletter
By Razor Labs 5 min read SHARE Welcome to Razor Labs‘ Q1 2025 Newsletter! We’re excited to share Razor Labs’ key achievements from Q1 2025 – a quarter defined by continued growth, innovation, and global expansion, all fueled by our commitment to operational excellence through AI. Our momentum continues to build across the mining sector and beyond, spanning continents and […]
Case Study: DataMind AI™ Prevents Sinter Fan Failure by Detecting Lubrication Issues and Mechanical Looseness
By Razor Labs 5 min read SHARE DataMind AI™ was deployed at a chrome smelter to monitor critical assets, including sinter fans responsible for maintaining airflow and process stability during the sintering stage. Any failure in these fans can cause serious disruption to production. DataMind AI™ identified early signs of lubrication degradation and mechanical looseness […]
Webinar: Real-Life Examples of AI Sensor Fusion Predictive Maintenance
by Razor Labs 4 min read SHARE Realising the Full Potential of Predictive Maintenance with AI Sensor Fusion Predictive maintenance has become a critical focus for mining operations looking to reduce downtime, improve asset reliability, and increase operational efficiency. In this recorded webinar, produced in collaboration with Austmine, we explore how AI Sensor Fusion is […]
Case Study: Detecting a Critical Centrifuge Drum Imbalance with DataMind AI™
By Razor Labs 5 min read SHARE DataMind AI™ was installed at a major coal site to monitor critical equipment, including a high-speed centrifuge essential for material separation. Any failure or imbalance could disrupt production and lead to costly downtime. Following a routine stoppage, DataMind AI™ detected an abnormal increase in vibration levels, signaling a […]
Razor Labs partners with SIMEC Mining following initial pilot phase
By Michael Zolotov 4 min read SHARE A year and a half ago, ChatGPT burst onto the scene, sparking an intense race among tech giants like OpenAI, Microsoft, and Facebook to develop the most advanced AI models. Despite initial rapid advancements, the AI field has hit a plateau, prompting a reevaluation of how we push […]
Case Study: DataMind AI™ Identifies Gearbox Tooth Damage in Ball Mill and Ensures Operational Continuity
By Razor Labs 5 min read SHARE DataMind AI™ was installed at an iron ore mining site in Australia to monitor critical equipment, including the Ball Mill. The site had historically faced recurring gearbox failures, leading to costly unplanned downtime and safety risks. Shortly after installation, DataMind AI™ flagged the Ball Mill gearbox with an “Alarm” […]
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.
