Field notes, deployment case studies, and maintenance engineering perspectives from the Predictiv MFG team.
Five years of continuous monitoring data across 847 assets reveals consistent degradation patterns that change how we schedule maintenance interventions in heavy industry.
Read the ArticleA Tier 2 automotive supplier was averaging three unplanned press line stoppages per month. After deploying vibration monitoring on 47 drive assemblies, they went 11 months without a single bearing-related emergency shutdown.
Read the Case StudyThe repair bill is the smallest part. When you add lost production, cascaded line stops, overtime recovery, and customer penalties, a single bearing failure can cost half a million dollars.
Read the ArticleMost plants track the direct cost of emergency repairs — parts and labor. But the true cost of a rolling mill unplanned stop includes lost production, scrap on the runout table, reheating costs, and overtime. When you add those up, the case for predictive maintenance is not a close call.
Read the ArticleEdge computing in manufacturing sounds straightforward until you deal with 140°F environments, RF-hostile factory floors, and IT departments protecting their VLANs. Here is what survives contact with reality.
Read the ArticleA hot strip mill in the Great Lakes region caught a critical pinion bearing failure 72 hours before it would have become a catastrophic unplanned stoppage. The avoided failure paid for the monitoring system 24 times over.
Read the Case StudyWe've rolled out firmware and sensor support for ultrasonic acoustic emission detection across all GW-200 and GW-400 gateway units. Existing customers can now add acoustic channels to their installations without replacing hardware — just a firmware update and the new sensor module.
Read the UpdateA 28-drive conveyor system. Five years of data. Time-based schedule costs $810k. Condition-based costs $279k. Here is the full cost model and where the differences come from.
Read the ArticleGetting monitoring alerts into Maximo, SAP PM, or eMaint as actual work orders is not plug-and-play. Here is what the integration involves, what can go wrong, and how to do it right.
Read the ArticleBoth tools work. Both have blind spots. Choosing the wrong one for the failure mode you're watching means catching the problem late or not at all. Here is how to match the tool to the fault.
Read the ArticleThe general skilled trades shortage is real. The shortage of experienced heavy equipment maintenance specialists is considerably worse and has a structural cause that isn't going away quickly.
Read the ArticleAcoustic emission sensors detect structural cracks months before vibration analysis or thermal imaging see anything. For press frames, pressure vessels, and mill housings, it is the right tool for the job.
Read the ArticleBad sensor placement, grounding errors, insufficient sampling rates, and truncated baseline periods kill more predictive maintenance pilots than bad algorithms do. Here is what goes wrong and how to prevent it.
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