There are many, many definitions for condition-based monitoring (CBM),” says Diego Navarro, global fleet management solutions manager for John Deere Construction and Forestry Division. “Mine is being ...

Equipment failure can be expensive, and potentially catastrophic. Unplanned production downtime, missed contract deadlines, costly machinery replacements, as well as safety problems, environmental ...

Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...

AUSTIN, Texas--(BUSINESS WIRE)--NI (NASDAQ: NATI) announced today the launch of ActiveUptime™, its Maintenance-as-a-Service solution for condition monitoring and predictive maintenance of test ...

(MENAFN- AIIEM) Introduction: Unlocking Efficiency with Predictive Maintenance with AI Tools In today's rapidly evolving industrial landscape, the adoption of advanced technologies is paramount for ...

Traditionally, preventive maintenance (PM) relied on industrial or in-plant average life statistics, such as mean-time-to-failure (MTTF), to assist in the scheduling of maintenance events. With PM, a ...

Condition monitoring for predictive maintenance is a drive solution developed by NORD that focuses on status-oriented maintenance rather than traditional time-based maintenance. Status and drive data ...

For any railway, safety is fundamental before other metrics become relevant. To understand how safely a train is operating, and to predict when it will not be, it is important to monitor train ...

(MENAFN- GlobeNewsWire - Nasdaq) The market is witnessing robust growth due to the . These approaches demand real-time, data-driven solutions to ensure optimal asset performance. Advancements in ...

Software Segment to Capture Considerable Market Share in the Oil Condition Monitoring Market During the Forecast Period. The software segment is expected to capture a considerable share of the oil ...