Condition-Based Monitoring for Power Plants

Reactive maintenance waits for failures. Scheduled maintenance replaces parts by calendar. Condition-based monitoring does neither — it measures the actual state of every asset continuously and triggers maintenance only when condition data justifies intervention. At a power plant, this distinction is worth millions: a bearing that still has 60% useful life is not changed at the scheduled quarterly interval; a bearing showing a confirmed BPFO frequency signature at 40% of its nominal service life gets a work order immediately. iFactory's CBM platform connects to every sensor, instrument, and inspection system in your plant — generating AI-driven maintenance triggers from actual asset condition rather than from a schedule written when the equipment was commissioned. Book a free CBM assessment for your plant.

Quick Answer

iFactory's condition-based monitoring platform continuously assesses every asset's health from live sensor data — vibration, temperature, pressure, electrical, and visual — and generates automatic work orders in SAP PM, IBM Maximo, or iFactory CMMS the moment condition data justifies intervention. Average result: 22% maintenance spend reduction, 45% fewer forced outages, 15–20% asset life extension.

How iFactory's CBM Platform Solves Every Gap in Conventional Monitoring

Conventional condition monitoring sets a threshold and waits. iFactory's CBM detects the pattern — the rate of change, the cross-parameter correlation, the deviation from your specific asset's normal operating envelope — and triggers precisely when condition justifies action, not before and not after. Book a demo to see CBM applied to your asset mix.

Continuous Asset Health Scoring

0–100Per Asset, Every Cycle

Every asset — turbine bearing, generator winding, transformer, boiler tube zone, pump — receives a continuous health score updated from live sensor data every cycle. Scores integrate vibration, thermal, electrical, and process parameters simultaneously. A score trending from 82 to 61 over 14 days is a developing fault requiring scheduled attention. A score dropping from 78 to 31 in 6 hours is an urgent condition requiring immediate action.

Health score drives the maintenance trigger — not the calendar

Multi-Parameter Condition Analysis

3,000+Parameters Fused / sec

A single parameter reading above baseline is noise. A BPFO amplitude rising 8% per week, combined with a 1.5°C bearing temperature increase and a 0.2 bar lube oil pressure decline, is a confirmed developing bearing fault. iFactory fuses all sensor streams simultaneously — vibration, temperature, pressure, electrical, and process — keeping the false alarm rate below 2% while detecting genuine faults 72+ hours before any threshold fires.

Multi-sensor confirmation — false alarm rate <2%

Remaining Useful Life per Component

PerBearing, Seal, Winding

CBM's core output is not just "anomaly detected" — it is "this bearing has an estimated 19–26 days of useful life remaining at current operating stress, with 91% confidence." RUL is calculated per component from AI-projected failure trajectory, enabling maintenance to be scheduled precisely into the next available planned window rather than on an emergency basis.

Failure date projected — emergency repairs become planned interventions

PM Rationalisation — Eliminate Unnecessary Tasks

30–40%of PM Tasks Deferrable

iFactory's CBM platform audits your existing PM schedule against actual AI-detected condition data — identifying which scheduled tasks have no corresponding degradation signature in the sensor data and can be safely deferred or eliminated. Most plants find 30–40% of their PM workload is interval-driven without condition justification. Removing unnecessary tasks delivers 22% average maintenance spend reduction without increasing failure risk.

22% maintenance spend reduction — condition-justified deferrals only

Automatic CBM Work Order Generation

60 secCondition to CMMS

Every confirmed condition finding generates a work order automatically — pre-populated with asset ID, fault classification, severity level, recommended action, sensor evidence, and estimated urgency. Work orders route directly to SAP PM, IBM Maximo, Oracle EAM, or iFactory's native CMMS and are prioritised by financial consequence, not by the order the alarm fired. Engineers act on classified findings, not on alarm lists.

Work order in CMMS within 60 seconds — zero manual triage

Fleet-Wide CBM Dashboard & Ranking

7 / 30 / 90Day Risk Horizon

Every asset in your fleet is ranked by failure probability over the next 7, 30, and 90 days — updated continuously, not at the weekly maintenance meeting. Operations managers see exactly which equipment needs attention this week, which can be deferred to next planned window, and which is trending towards a risk level that warrants schedule change. Maintenance resources are always directed at the highest-consequence assets first.

Highest-risk asset always visible — resources directed by consequence

Replace Your PM Schedule With Condition-Driven Maintenance — Live in 6 Weeks.

iFactory connects to your existing DCS, historian, IIoT sensors, and CMMS. CBM triggers replace calendar intervals progressively — your team validates each deferral before it takes effect. No cliff-edge transition.

Book Your Free Demo Talk to an Expert

Deployment Roadmap — CBM Active in 6 Weeks

iFactory connects read-only to your existing DCS, historian, and CMMS. No control system changes. CBM triggers begin replacing PM intervals progressively from week 6. Book a demo for your plant-specific CBM transition plan.

Week 1–2

Asset Registry, PM Schedule Import & Data Connection

Full asset registry built. Existing PM schedule imported and mapped against asset classes. DCS, historian, and IIoT sensor feeds connected read-only. CMMS maintenance history imported for model training context and PM rationalisation baseline.

Deliverable — Asset registry live, PM schedule mapped, data connections confirmed

Week 3–4

AI Baseline Calibration & PM Rationalisation Analysis

AI models calibrated per asset class. Normal operating baselines established at each load point. PM rationalisation analysis completed — identifying which scheduled tasks have AI-detected degradation justification and which are interval-driven without condition evidence. First deferral recommendations produced for engineering review.

Deliverable — Models calibrated, health scores live, PM rationalisation report delivered

Week 5–6

CMMS Integration & CBM Trigger Activation

Condition-based work order templates configured per asset class and fault severity. SAP PM, Maximo, or iFactory CMMS connected for automatic trigger generation. First CBM work orders validated alongside existing PM schedule. RUL calculations active per component. Fleet risk dashboard deployed.

Deliverable — CMMS integrated, CBM triggers live, fleet dashboard active

Month 2+

Progressive Transition

PM Intervals Replaced — CBM Programme Fully Operational

CBM triggers progressively replace fixed PM intervals as engineering team validates deferral recommendations. Maintenance spend tracking active. Model accuracy improves continuously from work order outcome feedback. 90-day support included.

Deliverable — CBM programme operational, PM schedule optimised, continuous improvement active

Our Numbers — CBM Outcomes Across iFactory Deployments

Results from power generation plants that completed a minimum 12-month period operating CBM-driven maintenance through iFactory.

22%

Maintenance Spend Reduction

45%

Fewer Forced Outages

15–20%

Asset Life Extension

74%

Predictive Maintenance Share vs 21% Industry Avg

<2%

False Alarm Rate Fleet-Wide

93%

Fault Detection Accuracy at 72+ Hours

30–40%

of PM Tasks Found Deferrable in First Cycle

6 wks

To First CBM Work Orders Generating

Get Your PM Rationalisation Analysis — See Which Tasks Have No Condition Justification.

iFactory's pre-deployment CBM assessment maps your existing PM schedule against available sensor data and identifies exactly which intervals can be extended, which should be accelerated, and which can be eliminated — with financial impact per task.

Book Your Free Demo Talk to an Expert

iFactory vs Competitor CBM Platforms

ABB Ability, Emerson AMS, GE APM, and IBM Maximo each offer condition monitoring capabilities. None combines multi-sensor AI fusion, automatic PM rationalisation, RUL per component, and native CMMS work order generation in a single on-premise platform deployable in 6 weeks. Book a demo to see iFactory mapped against your current condition monitoring programme.

Capability	iFactory	ABB Ability	Emerson AMS	GE APM	IBM Maximo
Detection & Scoring
Continuous asset health score (0–100)	Every asset, every cycle	ABB assets primary	Vibration focus	GE assets only	Work order system
Multi-sensor fusion (<2% false alarm)	Vibration + thermal + process	Limited fusion	Vibration only	GE sensors only	Not available
72+ hour advance fault warning	93% accuracy	Hours only	Hours only	GE turbines only	Not available
CBM Intelligence
RUL per component with failure date	Per bearing, seal, winding	Selected assets	Add-on required	GE assets limited	Add-on required
PM rationalisation analysis	Auto — per task	Not available	Not available	Not available	Not available
Integration & Infrastructure
Auto CMMS work order on condition trigger	SAP / Maximo / native	Manual trigger	Manual trigger	Manual trigger	Internal only
On-premise / NERC CIP compliant	NVIDIA edge — full	Cloud primary	Cloud primary	Cloud primary	On-prem available
Deployment timeline	6 weeks	3–6 months	3–6 months	12–18 months	12–24 months

Based on publicly available product documentation as of Q1 2025. Verify current capabilities with each vendor before procurement decisions.

Regional Compliance — CBM Records Satisfy Every Major Framework

iFactory processes all condition monitoring data and CBM records on-premise — satisfying data sovereignty, OT cybersecurity, and maintenance evidence requirements across every major power generation regulatory framework. Book a demo to see compliance configuration for your region.

Region	Key Frameworks	How iFactory Solves It
USA & Canada	NERC CIP-005–013, OSHA 1910.269, ISO 55001, NIST 800-82	All CBM data inside Electronic Security Perimeter. ISO 55001 Clause 6.2 condition-based decision evidence assembled automatically for every work order. OSHA 1910.269 maintenance records complete at every work order close-out.
UK & EU	EU NIS2, IEC 62443, GDPR, ISO 55001, PSSR 2000	GDPR satisfied — all condition monitoring data on-premise. ISO 55001 CBM decision evidence continuous. PSSR 2000 pressure system condition records with full evidence chain maintained.
Australia	AEMO NEM, SOCI Act 2018, ISO 55001, Safe Work Australia	SOCI obligations met by on-premise architecture. ISO 55001 CBM audit trail continuous. Safe Work machinery condition records auto-assembled. All data onshore.
Germany	BSI IT-Grundschutz, KRITIS, VDI 2886, BetrSichV, ISO 55001	VDI 2886 condition monitoring records maintained continuously. KRITIS obligations met without cloud transfer. BetrSichV operational safety records from every CBM finding complete.
Saudi Arabia	NCA ECC-1, IEC 62443, CITC, Saudi Aramco SAES, ISO 55001	NCA ECC-1 and CITC data localisation met on-premise. SAES-compatible CBM maintenance records. ISO 55001 evidence assembled continuously. Arabic platform outputs supported.

Stop Replacing Parts That Do Not Need Replacing. Start Replacing Parts When Condition Says They Do.

iFactory's CBM platform connects to your existing sensors and CMMS, audits your PM schedule against real condition data, and begins generating condition-based triggers in 6 weeks. No cliff-edge migration.

Book Your Free Demo Talk to an Expert

What Our Clients Say

"We were running a quarterly PM schedule that had not been reviewed in 6 years. iFactory's rationalisation analysis showed 31% of our scheduled tasks had no corresponding AI-detected degradation — we were replacing parts that were fine and still missing failures that developed between inspection windows. In the first year, we deferred $1.1M in unnecessary maintenance spend and had zero forced outages from failure modes the AI was monitoring. The CBM work order integration with Maximo meant our planners did not need to change how they worked — the triggers arrived as standard work orders with all the information already populated."

VP of Operations & Asset Reliability

1,600MW Multi-Unit Coal and Gas Portfolio — Australia

Frequently Asked Questions

QHow does CBM handle assets where we have limited sensor coverage?

iFactory builds health scores from available data — assets with limited sensor coverage receive a lower-confidence score from process parameters and maintenance history. The deployment assessment identifies which high-criticality assets need additional sensors and prioritises them by failure consequence. CBM is not binary: partial coverage delivers partial early warning, which is still better than a fixed calendar interval.

QWhich PM tasks must remain on fixed intervals even after CBM is active?

Statutory inspections, safety system tests, and regulatory-mandated checks remain on fixed intervals regardless of condition data. iFactory's PM rationalisation analysis explicitly flags these as non-deferrable and excludes them from the deferral recommendations. Typically 15–20% of PM tasks fall into this category; the remaining 80–85% are evaluated against condition data.

QHow does iFactory ensure a CBM deferral recommendation is safe — not just financially convenient?

Every deferral recommendation is produced only when: the asset health score is above threshold, no degradation signature is present in any sensor stream, and the projected failure trajectory shows no risk within the proposed deferral window. Deferral recommendations require engineering sign-off before the PM interval is extended. iFactory presents the evidence; your engineers make the decision.

QDoes the CBM programme work alongside our existing CMMS — or does it replace it?

Alongside, not replace. iFactory reads from and writes to your existing SAP PM, Maximo, or Oracle EAM — CBM work orders appear as standard work orders in your planners' existing workflow. No retraining. No parallel system. Book a CMMS integration review.

Continue Reading

Strategy11 min

AI Predictive vs Preventive AnalyticsThe complete financial case for moving from fixed PM intervals to condition-based maintenance — stream by stream.

Vibration Analytics10 min

Vibration Sensor Predictive Analytics for TurbinesThe vibration analytics layer at the core of iFactory's rotating machinery CBM programme.

APM12 min

Power Plant Asset Performance ManagementCBM health scores feed directly into APM risk rankings — condition monitoring and lifecycle management unified.

IIoT Sensors11 min

IIoT Sensors for Power Plant Analytics AutomationThe sensor network that feeds CBM — wireless vibration, temperature, pressure, and ultrasonic deployed in 4 weeks.

Replace Calendar-Based PM With Condition-Based Intelligence — Live in 6 Weeks.

iFactory CBM connects to your existing DCS, IIoT sensors, and CMMS. First condition-based work orders in 6 weeks. 22% average maintenance spend reduction. NERC CIP compliant on-premise.

Book Your Free Demo Talk to an Expert

Continuous Health Scoring RUL per Component PM Rationalisation Analysis Auto CMMS Work Orders NERC CIP Compliant