Preventive and predictive are two of the most popular types of maintenance at a fleet's disposal. But which is best for you?

CRRC Chongqing Company recently held a significant event focusing on the intelligent development of rail transit, officially ...

On the evening of September 2, Hua Sheng Chang (002980) announced that its developed 'DeepSense Deep Sensing Large Model' has passed the filing for generative artificial intelligence services and will ...

Predictive Maintenance Toolbox can help train predictive models that can estimate remaining useful life (RUL) and provide confidence intervals associated with the prediction. (Graphic: Business Wire).

We look at how AI is reshaping predictive maintenance in the mining industry, helping cut costs and streamline efficiencies as the sector responds to increased production pressures.

Transformers are vital to the grid and when they fail, the consequences can be massive. Nathan Jacob of Camlin Energy explains how monitoring technology detects problems before breakdown occurs.

Yet at the same time, developing such “predictive models” is no simple task, stresses Michael Riemer, vice president-products and channel marketing for maintenance software firm Decisiv.

Planning for a predictive maintenance model starts with up-to-date PMs, followed by the integration of vehicle telematics data with in-shop systems to streamline service.