Most facilities already have the monitoring tools needed for predictive maintenance; the key is actively reviewing and interpreting the data. Electrical failures often develop gradually through trends ...

In this article, MaintainX shares a collection of useful stats and insights about preventive maintenance, predictive analytics, artificial intelligence, and other trends that impact maintenance teams.

Processing data closer to its source (edge computing) combined with AI allows for faster analysis and decision-making in preventative maintenance, as well as enhances data security. The work flows in ...

According to research by market analysis firm Mordor Intelligence, the global AI market in the oil and gas industry is ...

2025 will be remembered for many things, but there's no doubt that the widespread adoption of artificial intelligence by non-tech people will be one of them — including in the truck maintenance shop.

The AI prognostic mechanism utilizes the stable state following annual overhauls as a baseline model, continuously comparing it against real-time waveforms. Upon detecting anomalies, the system ...

How might aerospace quality engineers progress from defect detection to making defects obsolete entirely? The key to doing so lies in the intersection of AI-based inspection technology, predictive ...

Knight-Swift Transportation has rapidly adopted AI across fleet and maintenance operations, using predictive tools to prevent up to 15 tows a month and streamline breakdown response and driver ...