Scope Boundary
This page is the public derivative of `RM-MKS-9008 — Failure Codes`, v1.2, Approved Internal. It owns failure classification: problem or observed damage, failed object or function, cause, remedy, and damage codes used for analysis. It may reference equipment class for code applicability, but Asset Hierarchy owns functional and parent-child structure. Reliability-Centered Maintenance owns RCM functional-failure and failure-mode analysis; crosswalks to the CMMS catalog are governed and are not assumed to be one-to-one.
Plain-English Definition
Failure Coding & Asset Taxonomy is the standardized method of classifying assets, failures, causes, and corrective actions within a Computerized Maintenance Management System (CMMS).
A consistent coding structure transforms maintenance history into reliable information for analysis, reliability improvement, KPI reporting, and informed decision-making.
Without standardized coding, maintenance history becomes difficult to search, compare, and analyze.
Executive Summary
Most organizations collect thousands of work orders every year but gain little value because failures are documented inconsistently.
An effective failure coding program enables organizations to:
- Improve maintenance history
- Identify recurring failures
- Support Root Cause Analysis
- Improve Reliability Engineering
- Measure failure trends
- Standardize reporting
- Improve PM optimization
- Support AI and analytics
- Enable enterprise comparisons
Why Failure Coding Matters
Poor failure coding results in:
- Inconsistent work order history
- Weak reliability analysis
- Poor KPI accuracy
- Missed recurring failure trends
- Difficult Root Cause Analysis
- Limited enterprise reporting
- Reduced confidence in CMMS data
What Failure Coding Is
Failure Coding includes standardized:
- Asset Taxonomy
- Problem Codes
- Failure Codes
- Cause Codes
- Remedy Codes
- Damage Codes
- Coding Standards
- Governance
What Failure Coding Is Not
Failure coding is not:
- Free-form technician notes
- Personal abbreviations
- Generic comments such as "fixed"
- Asset descriptions
- Work priorities
Narrative comments should complement structured coding.
Objectives
An effective program should:
- Standardize maintenance history
- Improve data quality
- Support reliability analysis
- Enable enterprise reporting
- Improve PM optimization
- Reduce ambiguity
- Support better decisions
Failure Coding Philosophy
The same failure on similar assets should receive the same coding regardless of who performs the work or where it occurs.
Consistency is more valuable than complexity.
Core Components
- Asset Taxonomy
- Problem Codes
- Failure Codes
- Cause Codes
- Remedy Codes
- Damage Codes
- Standard Definitions
- Governance
- Audits
Relationship to the CMMS
Failure coding supports:
- Equipment Master Data
- Work Orders
- Preventive Maintenance
- Reliability Engineering
- Root Cause Analysis
- FMEA
- KPIs
Inputs
- Maintenance history
- Reliability studies
- ISO 14224
- OEM documentation
- Technician feedback
- Engineering standards
Outputs
- Consistent maintenance history
- Accurate reliability reports
- Repeat failure analysis
- PM optimization opportunities
- Better Root Cause Analysis
- Enterprise comparisons
Asset Taxonomy
Asset taxonomy is the standardized method of classifying equipment across an organization.
A consistent taxonomy allows similar assets to be grouped, analyzed, and maintained using common standards.
Without a standardized taxonomy, reporting and reliability analysis become inconsistent.
Why Asset Taxonomy Matters
A well-designed taxonomy:
- Standardizes equipment classification
- Improves CMMS searches
- Simplifies PM assignment
- Improves KPI reporting
- Supports enterprise reporting
- Enables AI-driven analytics
- Reduces duplicate asset types
Taxonomy Hierarchy
A recommended hierarchy includes:
- Enterprise
- Site
- Area
- System
- Equipment Class
- Equipment Type
- Equipment
Example:
Site └── Utilities └── Compressed Air └── Air Compressor └── Compressor AC-101
Equipment Classes
Equipment classes group similar assets with common maintenance strategies.
Examples include:
- Pumps
- Motors
- Gearboxes
- Conveyors
- Compressors
- Fans
- Valves
- Heat Exchangers
- Electrical Panels
Equipment classes should remain stable across the enterprise.
Equipment Types
Equipment types further classify equipment within a class.
Example:
Pump
- Centrifugal Pump
- Positive Displacement Pump
- Diaphragm Pump
- Peristaltic Pump
Motor
- AC Induction
- DC Motor
- Servo Motor
- Stepper Motor
Detailed classification improves reporting and PM standardization.
Functional Classifications
Assets may also be classified by operational function.
Examples include:
- Production
- Utilities
- Packaging
- Refrigeration
- Wastewater
- Building Systems
- Safety Systems
Functional classifications support business reporting.
ISO 14224 Asset Taxonomy
ISO 14224 provides guidance for standardizing reliability and maintenance data.
The standard promotes:
- Consistent asset classification
- Standard failure terminology
- Comparable reliability data
- Enterprise benchmarking
Organizations should align taxonomy with recognized industry standards whenever practical.
Naming Standards
Equipment names should be:
- Unique
- Descriptive
- Consistent
- Searchable
Example:
Good: Cooling Tower Fan Motor
Poor: Motor 1
Taxonomy Governance
Taxonomy changes should follow formal approval.
Governance should define:
- Standard classes
- Approved types
- Naming conventions
- Record ownership
- Change approval
- Periodic review
Controlled governance prevents uncontrolled growth.
Relationship to Master Data
Asset taxonomy supports:
- Equipment Master Data
- PM Libraries
- Job Plans
- Bills of Material
- Failure Codes
- Reliability Reporting
One standardized taxonomy improves every downstream maintenance process.
Failure Data Model
A structured failure data model transforms work order history into reliable information.
The recommended model includes:
- Problem Code
- Failure Code
- Cause Code
- Remedy Code
- Damage Code
Together these fields describe what happened, why it happened, and how it was corrected.
| Coding level | Question answered | Selected by | Validation rule |
|---|---|---|---|
| Problem | What symptom was observed? | Requester or operator | Must use symptom, not assumed cause |
| Failure | What component or function failed? | Qualified maintainer | Must be valid for equipment class |
| Cause | Why did the failure occur? | Maintainer or reliability reviewer | Use “unknown” when evidence is insufficient |
| Remedy | What corrective action restored function? | Maintainer | Must agree with work performed |
| Damage | What physical condition was found? | Maintainer | Required when observable and applicable |
Organizations use different CMMS labels. For example, one system's “failure code” may represent an object part, damage, or failure mode. Govern each field by its defined question, inclusion and exclusion rules, and equipment-class applicability rather than by the software label alone. A problem symptom is not a confirmed cause, and a cause should remain governed as unknown when evidence is insufficient.
Problem Codes
Problem codes describe the condition observed when maintenance was requested.
| Problem code | Typical description |
|---|---|
| Excessive Noise | Abnormal audible sound reported by an operator or technician |
| High Vibration | Vibration level outside the expected operating range |
| Oil Leak | Visible loss of lubricant or hydraulic fluid from the asset |
| Won't Start | Equipment fails to start or energize on command |
| Low Pressure | Process or system pressure below expected operating range |
| Overheating | Equipment temperature above expected operating range |
| Poor Performance | Output, speed, or capacity below expected performance |
Problem codes describe symptoms rather than root causes.
Failure Codes
Failure codes identify what actually failed.
| Failure code | Typical description |
|---|---|
| Bearing Failure | A rotating-equipment bearing has failed or degraded |
| Mechanical Seal Failure | A mechanical seal has failed, allowing leakage |
| Belt Failure | A drive or conveyor belt has broken, slipped, or worn out |
| Coupling Failure | A shaft coupling has failed or lost alignment capability |
| Motor Winding Failure | An electric motor winding has failed electrically |
| Relay Failure | A control relay has failed to operate correctly |
| Sensor Failure | An instrument or sensor has failed to read or transmit correctly |
Failure codes should be standardized across the enterprise.
Cause Codes
Cause codes identify why the failure occurred.
| Cause code | Typical description |
|---|---|
| Normal Wear | Expected degradation from normal operating life |
| Misalignment | Shafts, couplings, or components were out of tolerance |
| Improper Lubrication | Wrong lubricant, quantity, or interval was applied |
| Contamination | Foreign material entered the system or lubricant |
| Overload | Equipment operated beyond its rated capacity |
| Installation Error | Component was installed incorrectly |
| Operator Error | Incorrect operation contributed to the failure |
| Design Deficiency | Equipment or system design was inadequate for the application |
Cause codes support Root Cause Analysis and reliability improvement.
Remedy Codes
Remedy codes describe the corrective action performed.
| Remedy code | Typical description |
|---|---|
| Replaced Component | The failed component was removed and replaced |
| Repaired Component | The existing component was restored to service |
| Realigned Equipment | Shafts or couplings were realigned to tolerance |
| Lubricated | Correct lubricant was applied per specification |
| Cleaned | Contamination or debris was removed |
| Calibrated | Instrument or control was returned to specification |
| Adjusted | A mechanical or control setting was corrected |
| Tightened Connections | Loose mechanical or electrical connections were secured |
Standard remedies simplify reporting and maintenance analysis.
Damage Codes
Damage codes describe the physical condition of the failed component.
| Damage code | Typical description |
|---|---|
| Worn | Material loss consistent with normal or accelerated wear |
| Broken | Component separated or fractured |
| Cracked | Component shows a crack without full separation |
| Corroded | Material degraded by chemical or electrochemical attack |
| Burned | Thermal or electrical damage is evident |
| Bent | Component is deformed from its original shape |
| Seized | Component locked and could not move freely |
| Leaking | Fluid or gas escaped through a failed boundary |
Damage information supports lifecycle analysis and engineering improvements.
Coding Workflow
Recommended sequence:
- Identify the problem.
- Confirm the failed component.
- Determine the most likely cause.
- Record the corrective action.
- Document the damage observed.
- Add supporting comments if needed.
Structured coding should be completed before closing the work order.
- "Record observed problem" leads to "Inspect and identify failed component or function".
- "Inspect and identify failed component or function" leads to "Select valid failure code".
- "Select valid failure code" leads to "Cause supported by evidence?".
- "Cause supported by evidence?", when Yes, leads to "Select cause code".
- "Cause supported by evidence?", when No, leads to "Use governed unknown cause".
- "Select cause code" leads to "Record remedy and damage".
- "Use governed unknown cause" leads to "Record remedy and damage".
- "Record remedy and damage" leads to "Validate code combination and close work order".
Data Quality Standards
High-quality failure data should be:
- Complete
- Accurate
- Consistent
- Timely
- Standardized
- Auditable
Periodic reviews should verify coding quality.
Practical Example
Asset: Pump P-201
Problem Code: High Vibration
Failure Code: Bearing Failure
Cause Code: Improper Lubrication
Remedy Code: Replaced Bearing
Damage Code: Seized
Narrative: Bearing failed due to inadequate lubrication. Bearing replaced and lubrication procedure updated.
Knowledge Graph Updates
Future Knowledge Library topics introduced:
- Asset Taxonomy
- Problem Codes
- Failure Codes
- Cause Codes
- Remedy Codes
- Damage Codes
- ISO 14224
- Reliability Data Standards
- Failure Data Governance
- Equipment Classification
- Equipment Classes
- Equipment Types
- Functional Classification
- ISO 14224 Taxonomy
- Asset Naming Standards
- Taxonomy Governance
- Enterprise Asset Standards
- Failure Data Model
- Problem Code Standards
- Cause Analysis Coding
- Remedy Classification
- Damage Classification
- Coding Workflows
- Reliability Data Quality
- Failure Reporting Standards
Industry Applications
Food Manufacturing
Failure coding should support:
- Food safety investigations
- Sanitation failures
- Refrigeration reliability
- Utility equipment
- Regulatory reporting
- Production loss analysis
Consistent coding improves reliability while supporting compliance requirements.
Distribution and Warehousing
Recommended coding categories include:
- Conveyors
- Sortation equipment
- Forklifts
- Dock equipment
- Automated storage systems
- Battery charging equipment
Municipal Utilities
Utility organizations should emphasize:
- Pumps
- Valves
- Motors
- Electrical distribution
- Instrumentation
- Water treatment assets
Standardized coding supports long-term infrastructure planning.
Commercial Facilities
Typical coding categories include:
- HVAC
- Boilers
- Chillers
- Fire protection
- Plumbing
- Electrical systems
- Building automation
Small Manufacturing
Begin with standardized coding for critical production assets before expanding across the facility.
Focus on:
- Production equipment
- Utilities
- Safety systems
- Frequently repaired assets
Failure Coding for Small Business Owners
Small organizations do not need hundreds of codes.
A practical system should include:
- Problem
- Failure
- Cause
- Remedy
Simple, consistent coding provides meaningful maintenance history without unnecessary complexity.
Failure Coding Maturity Model
Level 1 — Reactive
- Free-form comments
- No coding standards
- Limited reporting
Level 2 — Developing
- Basic failure codes
- Standard equipment classes
- Initial reporting
Level 3 — Managed
- Enterprise coding standards
- Complete failure data model
- Routine audits
- Standard taxonomy
- Reliability reporting
Level 4 — Optimized
- Enterprise governance
- ISO 14224 alignment
- AI-assisted coding
- Automated analytics
- Continuous data quality improvement
Failure Coding KPIs
| KPI | Formula or definition | Interpretation limit |
|---|---|---|
| Failure Coding Completion Rate | Eligible failure work orders with all required code fields / eligible failure work orders × 100 | Define eligibility and approved exceptions; completion does not prove accuracy. |
| Generic Code Usage Rate | Eligible coded failure work orders using any governed generic code / eligible coded failure work orders × 100 | High use can reflect catalog gaps, training, or legitimate uncertainty; do not force false specificity. |
| RCM Crosswalk Coverage | In-scope RCM failure-mode records with an approved catalog crosswalk / in-scope RCM failure-mode records × 100 | Coverage does not prove semantic equivalence or one-to-one mapping. |
| Coding Agreement Rate | Sampled records where a qualified reviewer agrees with selected codes / sampled coded records × 100 | Requires a controlled sample and reviewer guidance. |
| Catalog Change Cycle Time | Approved or rejected decision date − accepted proposal date | Report urgent safety/data defects separately from routine additions. |
Example: if 112 of 140 eligible failure work orders contain all required fields, completion is `112 / 140 × 100 = 80.0%`. If 35 of those 112 use a generic code, generic usage is `35 / 112 × 100 = 31.3%`. Neither result proves code accuracy; sample agreement and free-text evidence before changing the catalog or training. Numeric targets are local governance decisions.
Common Mistakes
Organizations frequently:
- Allow free-form descriptions instead of standard codes.
- Create too many codes.
- Mix symptoms with root causes.
- Skip technician training.
- Ignore data quality audits.
- Change definitions without governance.
- Maintain inconsistent asset taxonomy.
- Fail to use coding information for improvement.
Best Practices
- Maintain one enterprise coding standard.
- Keep code lists concise and well defined.
- Align taxonomy across all facilities.
- Train users on coding expectations.
- Audit coding quality routinely.
- Use coding data to drive reliability improvements.
- Review standards annually.
- Govern all changes through formal approval.
Product Opportunities
The items below are potential future product ideas for roadmap and planning purposes. They are not existing Reliability Method products, features, or services.
Templates
- Failure Code Dictionary
- Asset Taxonomy Standard
- Coding Audit Checklist
- Failure Analysis Worksheet
- Taxonomy Governance Guide
- Reliability Data Standard
Calculators
- Data Quality Score
- Repeat Failure Rate
- Coding Completeness Score
- Reliability Trend Calculator
AI Tools
- Failure Code Advisor
- Taxonomy Builder
- Coding Quality Auditor
- Reliability Trend Analyzer
- Root Cause Recommendation Assistant
Facility Manager Features
- Enterprise Failure Code Library
- Asset Taxonomy Manager
- Guided Failure Coding
- AI Coding Suggestions
- Reliability Analytics Dashboard
- Data Quality Monitoring
Training
- Failure Coding Fundamentals
- Asset Taxonomy Development
- Reliability Data Quality
- ISO 14224 Concepts
- CMMS Data Governance
Consulting
- Failure Coding Assessments
- Taxonomy Standardization
- Reliability Data Cleanup
- CMMS Data Governance
- Reliability Analytics Implementation
Related Knowledge Topics
- CMMS Fundamentals
- Equipment Master Data
- Reliability Engineering
- Root Cause Analysis
- FMEA
- Preventive Maintenance Library Management
- Maintenance KPIs
References
- SMRP Body of Knowledge
- ISO 55000 — Asset Management
- ISO 14224 — Collection and Exchange of Reliability and Maintenance Data
- Reliability Method Internal Standards
Revision History
| Version | Date | Change | Reviewer |
|---|---|---|---|
| 1.0 | — | Initial Failure Coding & Asset Taxonomy foundation created. | Reliability Method |
| 1.1 | — | Expanded asset taxonomy, failure data model, and governance guidance. | Reliability Method |
| 1.2 | 2026-07-27 | Completed industry applications, maturity model, KPIs, product opportunities, references, and revision history. | Reliability Method |
| 1.3 | 2026-08-01 | Corrected frontmatter/body mismatches (version, references); confirmed Scope Boundary preserves the KN-9014 Asset Hierarchy boundary; converted Problem/Failure/Cause/Remedy/Damage code examples into field-dictionary tables per Table Standards. | Reliability Method |
| 1.4 | 2026-08-03 | Reconciled to approved `RM-MKS-9008`; clarified CMMS-label variation and non-one-to-one RCM crosswalks; added controlled KPI formulas, examples, and interpretation limits for publication review. | Reliability Method |