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Companies and militaries look to artificial intelligence to improve support of equipment

2025-08-22 08:13:07 英文原文

作者:by ​Neil Thompson in London, UK

PHM tools are being used by Babcock to provide support for Challenger 2 tanks. (Photo: UK Ministry of Defence/Crown Copyright)

Companies are turning to rapidly advancing technologies such as artificial intelligence (AI) and machine-learning (ML) to to reduce maintenance times and costs and increase operational hours and tempo.

Prognostics and Health Management (PHM) tools such as AI, ML and sensor technologies are being used to track issues like wear and tear, with militaries and companies turning to such solutions to help impede equipment or component failure early.

The information from these tools is used to trigger logistics support and repair teams to catch an issue before it compounds other problems or causes an equipment malfunction.

The rapid development of PHM technologies is allowing companies to fast track the roll out of new digital tools to help their maintenance crews boost operational efficiencies and slash repair costs or delays.

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​Neil Thompson

Author

​Neil Thompson


Neil Thompson is a freelance journalist for Shephard and other publishers. He currently works as …

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摘要

PHM tools, including AI and ML, are being employed by companies like Babcock to support Challenger 2 tanks, aiming to reduce maintenance times and costs while increasing operational efficiency. These technologies track equipment wear and tear to prevent failures early on, triggering timely logistics support and repairs to avoid compound issues or malfunctions. Rapid PHM technology development is enabling quicker deployment of digital tools for enhanced maintenance crew performance and cost reduction.

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