Failure Analysis & Failure Mechanisms

Source and Scope Boundary#

This page is the public derivative of `RM-MKS-7002 — Failure Modes`, v1.2, Approved Internal. It owns physical failure mechanisms and engineering examination: fatigue, wear, corrosion, erosion, cavitation, lubrication, thermal, electrical, and human-induced degradation. Root Cause Analysis (RCA) owns investigation and causal reasoning; FMEA owns structured risk/action analysis. This page does not define failure-mode coding taxonomy or CMMS data structure — those remain owned by the underlying source and Failure Coding & Asset Taxonomy.

Definition#

Failure Analysis is the systematic process of investigating how and why equipment failed by identifying the physical failure mechanism, contributing factors, and underlying causes.

A failure mechanism is the physical, chemical, electrical, thermal, or human process that causes a component to degrade until it can no longer perform its intended function.

The objective is to understand how failures develop so they can be prevented in the future.

Executive Summary#

Equipment rarely fails without warning.

Failures usually begin with a defect that develops through one or more failure mechanisms until functional failure occurs.

Organizations that understand failure mechanisms can:

• Prevent recurring failures
• Improve maintenance strategies
• Improve equipment design
• Select better materials
• Improve reliability
• Reduce lifecycle costs
• Improve safety
• Increase asset availability

Why Failure Analysis Matters#

Repairing failed equipment restores production.

Understanding why it failed prevents the next failure.

Failure Analysis transforms maintenance history into engineering knowledge.

What Failure Analysis Is#

A complete Failure Analysis program includes:

• Failure investigation
• Physical examination
• Failure mechanism identification
• Material evaluation
• Operating condition review
• Maintenance history review
• Root Cause Analysis
• Engineering recommendations
• Knowledge management

What Failure Analysis Is Not#

Failure Analysis is not:

• Replacing failed parts without investigation
• Assigning blame
• Guessing the cause of failure
• Limited to catastrophic failures
• An activity performed only by engineers

It is a structured engineering discipline supported by maintenance, operations, and technical specialists.

Objectives#

An effective Failure Analysis program should:

• Identify physical failure mechanisms
• Prevent repeat failures
• Improve maintenance strategies
• Improve equipment design
• Reduce maintenance costs
• Improve asset reliability
• Support engineering decisions
• Capture organizational knowledge
• Drive continuous improvement

Failure Analysis Philosophy#

Every equipment failure contains valuable engineering information.

Organizations that learn from failures become more reliable over time.

Core Components#

A complete Failure Analysis program includes:

• Evidence preservation
• Failure mechanism identification
• Operating condition review
• Maintenance review
• Material evaluation
• Engineering assessment
• Corrective action development
• Verification
• Knowledge sharing

Relationship to the Maintenance Process#

Failure Analysis supports:

• Reliability Engineering
• Root Cause Analysis
• Failure Modes and Effects Analysis
• Reliability-Centered Maintenance
• Defect Elimination
• Precision Maintenance
• Condition Monitoring

Inputs#

Successful Failure Analysis depends on:

• Failed components
• CMMS history
• Inspection records
• Condition monitoring data
• Operating data
• Maintenance records
• Photographs
• Witness observations

Outputs#

An effective program produces:

• Identified failure mechanisms
• Engineering recommendations
• Improved maintenance strategies
• Updated standards
• Reduced repeat failures
• Reliability improvements
• Organizational learning

Fatigue Failure#

Fatigue is progressive cracking caused by repeated cyclic loading below the material's ultimate strength.

Common causes include:

• Repeated stress cycles
• Misalignment
• Vibration
• Stress concentrations
• Improper design

Indicators include beach marks, crack propagation, and sudden final fracture.

Wear Mechanisms#

Wear removes material from contacting surfaces over time.

Common wear types include:

• Abrasive wear
• Adhesive wear
• Erosive wear
• Fretting wear
• Surface fatigue

Proper lubrication, alignment, filtration, and material selection reduce wear.

Corrosion#

Corrosion is the deterioration of materials through chemical or electrochemical reactions.

Common forms include:

• Uniform corrosion
• Galvanic corrosion
• Pitting
• Crevice corrosion
• Stress corrosion cracking

Control methods include coatings, material selection, cathodic protection, and environmental control.

Erosion#

Erosion results from high-velocity fluids or particles removing material from a surface.

Typical applications include:

• Pumps
• Valves
• Piping
• Elbows
• Fans

Velocity control and improved materials reduce erosion.

Cavitation#

Cavitation occurs when vapor bubbles form and collapse within a liquid.

Common symptoms include:

• Pitting
• Noise
• Vibration
• Reduced pump performance
• Impeller damage

Prevent cavitation through proper suction conditions and pump selection.

Lubrication Failures#

Poor lubrication is a leading cause of bearing and gearbox failures.

Common causes include:

• Incorrect lubricant
• Over-lubrication
• Under-lubrication
• Contamination
• Improper intervals

Lubrication programs should be standardized and verified.

Thermal Damage#

Excessive temperature accelerates material degradation.

Examples include:

• Insulation breakdown
• Bearing overheating
• Lubricant oxidation
• Seal degradation
• Thermal distortion

Trend temperature changes using condition monitoring.

Electrical Failure Mechanisms#

Electrical failures may result from:

• Insulation deterioration
• Voltage imbalance
• Loose connections
• Harmonics
• Partial discharge
• Overheating

Routine testing can detect many electrical defects before failure.

Human-Induced Failures#

Many failures originate from maintenance or operational practices.

Examples include:

• Improper installation
• Incorrect torque
• Misalignment
• Operating outside design limits
• Poor troubleshooting

Standard work and competency reduce human-induced failures.

Failure Progression#

Failures typically progress through stages:

• Defect introduction
• Early degradation
• Detectable condition
• Functional failure
• Secondary damage

Understanding progression improves inspection timing and maintenance strategy.

Failure Analysis Governance#

Failure Analysis should operate under documented governance with standardized investigation methods, defined responsibilities, and measurable objectives.

Governance should establish:

• Program ownership
• Investigation criteria
• Evidence handling requirements
• Documentation standards
• Review frequency
• Approval authority
• Continuous improvement expectations

Cross-Functional Investigation Teams#

Effective Failure Analysis requires participation from:

• Reliability Engineering
• Maintenance
• Operations
• Engineering
• Production
• Quality
• Safety
• OEMs or subject matter experts, when needed

Collaboration improves the accuracy of engineering conclusions.

Evidence Preservation#

Preserve evidence before repairs begin whenever practical.

Best practices include:

• Photograph components
• Record equipment position
• Tag failed parts
• Prevent contamination
• Document operating conditions
• Preserve failed components for examination

Lost evidence often results in incorrect conclusions.

Component Examination#

Examine failed components for:

• Crack patterns
• Wear surfaces
• Corrosion products
• Heat discoloration
• Lubrication condition
• Fracture characteristics
• Manufacturing defects

Physical evidence should support every conclusion.

Engineering Assessment#

Engineering assessment should determine:

• Primary failure mechanism
• Contributing factors
• Failure progression
• Preventability
• Design improvements
• Maintenance improvements
• Operational improvements

Knowledge Management#

Capture lessons from every significant investigation.

Document:

• Failure mechanism
• Root causes
• Corrective actions
• Photographs
• Engineering recommendations
• Standards updated
• Lessons learned

Performance Measurement#

Evaluate the program using:

• Repeat failure reduction
• Failure investigations completed
• Engineering recommendations implemented
• Corrective action effectiveness
• Investigation cycle time
• Lessons learned published
• Business value delivered
• Reliability improvement achieved

Case Study#

The following is an illustrative composite drawn from common patterns across maintenance organizations, not a specific documented case.

A centrifugal pump experienced repeated shaft failures.

Failure analysis identified:

• Pipe strain
• Misalignment
• Cyclic fatigue
• Inadequate installation practices

Engineering corrected the piping, updated alignment procedures, and revised installation standards.

The team would define a controlled event, population, and exposure basis and track repeat-failure rate over a defined observation window before attributing any measured MTBF change to the correction. Any claimed result would require that controlled before-and-after evidence and disclosure of other changes affecting performance. No specific outcome is claimed here.

Continuous Improvement#

Improve the program through:

• Reliability reviews
• RCA integration
• Standards updates
• Technician training
• AI-assisted diagnostics
• Failure mechanism library expansion
• Benchmarking

Knowledge Graph Updates#

Future Knowledge Library topics introduced:

• Failure Mechanisms
• Material Failure Analysis
• Physical Evidence Examination
• Engineering Failure Assessment
• Failure Progression
• Failure Knowledge Base
• Engineering Recommendations
• Failure Classification
• Fatigue Analysis
• Wear Mechanisms
• Corrosion Mechanisms
• Cavitation Analysis
• Thermal Damage
• Electrical Failure Mechanisms
• Human-Induced Failures
• Failure Progression Models
• Failure Evidence Preservation
• Component Examination
• Failure Investigation Workflow
• Engineering Lessons Learned
• Failure Analysis KPIs
• Continuous Failure Improvement

Industry Applications#

Food Manufacturing#

Failure Analysis should prioritize:

• Food safety critical equipment
• Refrigeration systems
• Packaging equipment
• Utilities
• CIP systems
• High-speed rotating assets

Distribution and Warehousing#

Priority applications include:

• Conveyor systems
• Gearboxes
• Motors
• Sortation equipment
• Dock equipment
• Automated storage systems

Municipal Utilities#

Focus on:

• Pumps
• Motors
• Blowers
• Valves
• Electrical distribution
• Backup generators

Commercial Facilities#

Typical applications include:

• HVAC systems
• Chillers
• Boilers
• Cooling towers
• Emergency generators
• Building automation systems

Small Manufacturing#

Prioritize:

• Chronic equipment failures
• Rotating equipment
• Utility systems
• Air compressors
• Production bottlenecks

Failure Analysis for Small Business Owners#

Small organizations should:

• Preserve failed parts.
• Document failures with photographs.
• Identify recurring failure patterns.
• Correct underlying failure mechanisms.
• Maintain a library of lessons learned.

Every investigated failure improves future reliability.

Failure Analysis Maturity Model#

Level 1 — Reactive#

• Replace failed parts
• Minimal investigation
• Repeat failures common

Level 2 — Developing#

• Basic failure investigations
• Failure documentation
• Initial engineering recommendations

Level 3 — Managed#

• Formal Failure Analysis program
• Standard investigation methods
• Failure mechanism library
• Cross-functional reviews
• Performance measurement

Level 4 — Optimized#

• Enterprise Failure Analysis program
• AI-assisted diagnostics
• Digital failure knowledge base
• Predictive engineering insights
• Reliability-centered culture

Failure Analysis KPIs#

Example: if 18 of 20 applicable failure events due for review have a completed qualified classification, reviewed classification coverage is `18 / 20 × 100 = 90.0%`. Completion does not prove the classification is correct — pair this measure with a classification correction rate over time. Numeric targets are local governance decisions, not universal benchmarks.

Common Mistakes#

Organizations frequently:

• Discard failed components too early.
• Jump to conclusions without evidence.
• Ignore physical failure mechanisms.
• Fail to document findings.
• Skip engineering review.
• Never verify corrective actions.
• Repeat the same investigations.
• Separate failure analysis from reliability improvement.

Best Practices#

• Preserve evidence.
• Base conclusions on facts.
• Identify physical failure mechanisms.
• Integrate RCA with Failure Analysis.
• Maintain a searchable knowledge base.
• Verify engineering improvements.
• Share lessons learned.
• Continuously refine engineering standards.

Reliability Method Standards Roadmap#

Future Reliability Method standards proposed to support this topic (not yet published):

• RM-FA-001 — Failure Analysis Standard
• RM-FA-002 — Failure Mechanism Classification Standard
• RM-FA-003 — Evidence Preservation Standard
• RM-FA-004 — Component Examination Standard
• RM-FA-005 — Engineering Assessment Standard
• RM-FA-006 — Failure Analysis Governance Standard
• RM-FA-007 — Fatigue Failure Standard
• RM-FA-008 — Wear Mechanisms Standard
• RM-FA-009 — Corrosion Analysis Standard
• RM-FA-010 — Lubrication Failure Standard
• RM-FA-011 — Failure Progression Standard
• RM-FA-012 — Evidence Preservation Standard
• RM-FA-013 — Engineering Failure Assessment Standard
• RM-FA-014 — Failure Knowledge Management Standard
• RM-FA-015 — Failure Analysis Performance Standard
• RM-FA-016 — Failure Mechanism Library Standard
• RM-FA-017 — Enterprise Failure Analysis Program Standard
• RM-FA-018 — Failure Knowledge Management Standard
• RM-FA-019 — Failure Signature Atlas Standard
• RM-FA-020 — Failure Analysis Excellence Framework

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 Analysis Report
• Evidence Collection Checklist
• Component Examination Worksheet
• Failure Mechanism Library
• Engineering Recommendation Register
• Lessons Learned Report

Calculators#

• Failure Cost Calculator
• MTBF Improvement Calculator
• Downtime Cost Calculator
• Reliability Improvement ROI Calculator

AI Tools#

• Failure Analysis Assistant
• Failure Mechanism Identifier
• Component Inspection Advisor
• Engineering Recommendation Generator
• Failure Knowledge Search

Facility Manager Features#

• Failure Knowledge Base
• Failure Mechanism Library
• Evidence Repository
• Engineering Recommendation Tracker
• Reliability Analytics Dashboard
• Reliability Method Standards Library

Related Knowledge Topics#

• Reliability Engineering
• Root Cause Analysis
• Failure Modes and Effects Analysis
• Defect Elimination
• Precision Maintenance
• Condition Monitoring & Predictive Maintenance

References#

• SMRP Body of Knowledge
• ISO 55000 — Asset Management
• ASM Handbook, Volume 11: Failure Analysis and Prevention
• Reliability Method Internal Standards

Revision History#