Archive / current issue
Month: September 2026
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8–11 minutes
Modbus in AI Data Centers: From Equipment Data to Notification, Predictive Alert and Operator Alarm
How Modbus carries facility data during rapid GPU workload changes, and how validation and prediction turn measurements into notifications, alerts and operator alarms.
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8–13 minutes
Predictive-Maintenance Lessons Learned for AI Data Centers: Turning Evidence Trails into Better Rules, Models and Work Practices
Turn reviewed maintenance evidence into controlled rule, model, baseline and procedure improvements, with an Excel lessons-learned and corrective-action register.
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6–9 minutes
Predictive-Maintenance Auditability for AI Data Centers: Building an Evidence Trail from Alert to Verified Closure
A practical framework for preserving source evidence, decisions, work-order traceability, retesting, acceptance and retention across the predictive-maintenance control loop.
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5–7 minutes
Predictive-Maintenance Exception Management for AI Data Centers: Keeping Degraded Controls Visible, Owned and Time-Bound
A practical exception-management framework for keeping degraded predictive-maintenance controls visible, risk-assessed, owned, escalated and time-bound until verified closure.
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6–10 minutes
Predictive-Maintenance Change Control for AI Data Centers: Protecting Trust When Baselines, Rules and Models Change
How AI data centers can control predictive-maintenance changes to baselines, thresholds, sensors, models, OT integrations and CMMS/DCIM routing without weakening decision trust.
