Predictive maintenance is widely considered to be the obvious next step for any business with high-capital assets looking to harness machine learning to minimize equipment maintenance costs.

Scientists from Malaysia and Thailand have developed a novel machine-learning model for predicting the maintenance needs of large-scale solar PV plants. According to a recently published scientific ...

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots to scalable, physics-based intelligence across assets. Here’s how SciML can ...

Predictive maintenance and digital twin technologies use real-time aircraft data and advanced analytics to help MROs increase ...

The landscape of professional work is undergoing a fundamental shift, as detailed in the 2024 Work Trend Index Annual Report from Microsoft and LinkedIn. AI has transitioned from a futuristic concept ...

Vehicle Predictive Maintenance Market was valued at US$ 3 Bn in 2025 and is projected to reach US$ 13.7 Bn by 2036, growing at a CAGR of 14.7%, driven by AI diagnostics and IoT-based vehicle ...

Traditional vibration analysis falls short for slow-speed machinery. Augury’s AI-powered platform uses high-frequency ultrasound to deliver real-time diagnostics and predictive insights for low-RPM ...

What is predictive maintenance (PdM)? It’s the application of instrumentation and intelligence to help determine the condition of equipment and whether maintenance should be performed to avoid ...

Real-time responsiveness has become the gold standard for addressing customer challenges, including disruptions to operations and unplanned downtime. Innovative solutions such as the Guided Repair ...