Practical guides, KPI frameworks, and field reports from engineers who have spent time on plant floors — not in conference rooms.
A data-driven comparison of fixed-interval PM schedules versus condition-based predictive programs — with a framework for calculating avoided downtime costs at your facility.
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Spectral analysis fundamentals, sensor placement principles, and the frequency signatures that indicate bearing wear, imbalance, and misalignment — without a signal processing background.
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Most facilities undercount their downtime losses by 30–60%. Here is the full cost model — including hidden costs your OEE dashboard is almost certainly missing.
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How to configure bidirectional data flow between your predictive maintenance platform and SAP PM, IBM Maximo, or Fiix — and why the feedback loop matters as much as the alert.
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Fatigue spalling, contamination, lubrication breakdown, misalignment, and overloading — the vibration signatures each mode produces and the sensor thresholds that catch them before catastrophic failure.
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A practical comparison of MEMS accelerometers, piezoelectric sensors, infrared thermometers, and current transformers — matched to asset types and budget constraints.
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An anonymized account of how a gearmesh frequency anomaly in a helical gearbox was flagged by edge inference 60 hours before the unit would have seized — and what the corrective work actually cost.
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Latency requirements, network reliability, data privacy, and total cost of ownership — an honest comparison of on-device inference versus cloud-only architectures for industrial condition monitoring.
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Stamping presses, transfer lines, and CNC machining centers have distinct failure modes and monitoring requirements. This playbook covers what a mid-size Tier-1 supplier needs to know before deploying a PdM program.
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MTBF, MTTR, OEE, PM compliance rate, corrective-to-preventive ratio, and five more — with the exact formulas and the data sources you need to pull them from your CMMS.
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How to align a condition-based maintenance program with ISO 55000 asset management principles — without creating a compliance documentation burden for your maintenance team.
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Your SCADA historian has been recording the early signs of every failure your plant has experienced. Here is how to unlock that data for condition monitoring without writing a line of Python.
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