Works from CSV or workbook exports produced from SAP, IBM Maximo, Oracle ERP, Hexagon EAM, Infor, and other ERP, EAM, or CMMS systems. No direct integration or write-back is required — Review data requirements →
Industrial AI Knowledge Dictionary

What is Condition Based Maintenance?

Condition Based Maintenance is an industrial operating and governance term in predictive maintenance analytics, failure prediction, maintenance strategy optimization, and CMMS data readiness that helps enterprise teams name, measure, and govern an industrial data or operating problem before committing budget.

EntityCanonical definition
Primary engineReliabilityMind AI
Reviewed2026-08-03
Glossary entity Reviewed 2026-07-24 Benchmark language is planning context until replaced by uploaded-data evidence.
Definition

Condition Based Maintenance in industrial operations.

Condition Based Maintenance is an industrial operating and governance term in predictive maintenance analytics, failure prediction, maintenance strategy optimization, and CMMS data readiness that helps enterprise teams name, measure, and govern an industrial data or operating problem before committing budget.

Operational relevance: Condition Based Maintenance matters when industrial teams need to interpret predictive maintenance evidence before an accountable operating, data, maintenance, procurement, finance, or governance decision.
Related concepts
Process

Where the concept is used.

Failure-history review, condition-data readiness assessment, feature and label review, risk-signal interpretation, and owner validation.

Relevant data

What evidence can support it.

Asset ID, failure event, failure code, work order, downtime, operating hours, task history, condition data where available, and review outcome.

Common ambiguity

What the term does not prove.

Readiness and historical risk signals do not establish live prediction accuracy or authorize maintenance action.

Example

A concept-specific operating scenario.

An enterprise team may raise condition based maintenance after a SAP, Maximo, Oracle, CMMS, or spreadsheet export shows inconsistent part descriptions, fragmented demand, missing cost fields, or duplicate-looking records.

Primary engineReliabilityMind AI
Secondary enginesAssetMind AI, ReadyMind AI
Engine relationship

ReliabilityMind AI owns the primary diagnostic relationship.

AI2COE uses ReliabilityMind AI to analyze CMMS work-order history, identify bad-actor assets, quantify maintenance backlog risk, and provide a governed evidence baseline for predictive maintenance deployment.

Scope boundary

Product boundary: This definition describes a governed diagnostic concept. AI2COE does not treat it as a benchmark result, customer proof, certification, autonomous instruction, guaranteed outcome, or ERP write-back action.

The glossary defines terminology. It does not convert a term into a benchmark result, customer finding, or operational instruction.

FAQ

Reference questions.

What is Condition Based Maintenance?

Condition Based Maintenance is an industrial operating and governance term in predictive maintenance analytics, failure prediction, maintenance strategy optimization, and CMMS data readiness that helps enterprise teams name, measure, and govern an industrial data or operating problem before committing budget.

Where does Condition Based Maintenance appear in industrial operations?

Condition Based Maintenance matters when industrial teams need to interpret predictive maintenance evidence before an accountable operating, data, maintenance, procurement, finance, or governance decision.

What data is relevant to Condition Based Maintenance?

Asset ID, failure event, failure code, work order, downtime, operating hours, task history, condition data where available, and review outcome.

Which Industrial IQ engine owns Condition Based Maintenance?

ReliabilityMind AI is the primary engine. Supporting engines are used only when their evidence is substantively relevant: AssetMind AI, ReadyMind AI.

What is the scope boundary for Condition Based Maintenance?

This definition describes a governed diagnostic concept. AI2COE does not treat it as a benchmark result, customer proof, certification, autonomous instruction, guaranteed outcome, or ERP write-back action.