Oil analysis for fleets can support predictive maintenance by tracking lubricant condition, wear, contamination, and ...

Rail BI explains why predictive maintenance in rail only delivers value when condition data feeds into planning decisions.

Industrial AI is moving asset reliability beyond failure prediction toward better decisions, optimized maintenance, reduced downtime, and measurable business value.

AI maintenance tools face cost, skills, integration, reliability, security, and compliance barriers in data center operations ...

Rapid data center expansion and ongoing technician shortages make traditional, calendar-based maintenance unsustainable.

Agentic and physical AI could help manufacturers move beyond predictive maintenance by automating the coordination and execution of equipment repairs.

Every year, the automotive industry loses billions of dollars to something deceptively mundane: vehicles that break down when ...

A clip-on monitor for older machines: current clamp, vibration and temperature sensors report run time, load and early fault signs from lathes, pumps and compressors that have no electronics of their ...

Das führende Portal für Elektronik, KI und Informationstechnik mit News, Fachartikel und Produkten zu Halbleitern, Embedded-Systemen, Messtechnik, Optoelektronik, Automotive, Bauelemente-Distribution ...

The global predictive maintenance market is projected to grow from USD 9.71 billion in 2026 to USD 16.74 billion by 2031, at an 11.5% CAGR. Growth is driven by industrial IoT, AI, machine learning, ...

MATLAB/Simulink digital twin for inverter condition monitoring, fault diagnosis and predictive maintenance. Historical prototype: Simscape digital twin of a 3-DOF robot arm as a fault factory. The ...