November 2, 2025

The Hidden Signals That Could Save Your Plant Millions

Most industrial machine failures don’t come with a warning. In fact, according to ARC, 82% of them appear random.

But, as you may already know, they’re not.

You’ve just never looked deeply enough into the conditions behind those failures?

If you can surface conditions from within operational data, you can make better decisions, faster and with fewer surprises.

This goes beyond Condition-Based Maintenance.

It’s called Condition-Based Actions.

π‡πžπ«πžβ€™π¬ 𝐰𝐑𝐲 𝐒𝐭 𝐦𝐚𝐭𝐭𝐞𝐫𝐬:

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Traditional approaches rely on what’s already known. They work great, if the failure mode is familiar.

But in modern manufacturing, new conditions are emerging all the time, and often, no one’s seen them before.

Still, the system gives you clues. You just need to know how to listen.

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𝐂𝐨𝐧𝐝𝐒𝐭𝐒𝐨𝐧-𝐁𝐚𝐬𝐞𝐝 π€πœπ­π’π¨π§π¬ 𝐜𝐑𝐚𝐧𝐠𝐞 𝐭𝐑𝐞 𝐠𝐚𝐦𝐞:

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βœ… Act on emerging conditions, not just historical ones
βœ… Improve reliability by catching the β€œrandom” failures
βœ… Go beyond maintenance: impact energy, safety, emissions
βœ… Reduce reliance on guesswork and tribal knowledge

Whether it’s a spike in vibration, a shift in power consumption, or an anomaly in fluid dynamics, every condition tells a story. One you can act on.

Kudzai Manditereza

Founder & Educator - Industry40.tv

Kudzai Manditereza is an Industry4.0 technology evangelist and creator of Industry40.tv, an independent media and education platform focused on industrial data and AI for smart manufacturing. He specializes in Industrial AI, IIoT, Unified Namespace, Digital Twins, and Industrial DataOps, helping digital manufacturing leaders implement and scale AI initiatives.

Kudzai hosts the AI in Manufacturing podcast and writes the Smart Factory Playbook newsletter, where he shares practical guidance on building the data backbone that makes industrial AI work in real-world manufacturing environments. He currently serves as Senior Industry Solutions Advocate at HiveMQ.