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Asset Reliability in Infrastructure Asset Management

Asset Reliability in Infrastructure Asset Management

$250.00
Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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What does the Asset Reliability in Infrastructure Asset Management course cover?

Asset Reliability in Infrastructure Asset Management is covered here in 8 modules: Foundations of Asset Reliability Strategy, Data Collection and Condition Monitoring Systems, Failure Mode and Effects Analysis (FMEA) in Practice and 5 more. The outline lists 48 specific topics, opening with define reliability targets for critical infrastructure assets based on consequence of failure, regulatory requirements, and service-level agreements.

How do you approach Asset Reliability in Infrastructure Asset Management step by step?

The work is sequenced in 8 stages. It starts with Foundations of Asset Reliability Strategy, moves through Data Collection and Condition Monitoring Systems and Failure Mode and Effects Analysis (FMEA) in Practice, and ends at Continuous Improvement and Reliability Governance. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Asset Reliability in Infrastructure Asset Management course?

Module 1 is Foundations of Asset Reliability Strategy. It works through define reliability targets for critical infrastructure assets based on consequence of failure, regulatory requirements, and service-level agreements., select between reliability-centered maintenance (RCM), predictive maintenance, and run-to-failure strategies for specific asset classes using failure mode data., map asset criticality using a risk matrix that integrates safety, environmental, operational, and financial impacts.

How is the Asset Reliability in Infrastructure Asset Management course delivered?

The Asset Reliability in Infrastructure Asset Management course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Asset Reliability in Infrastructure Asset Management course cost?

The Asset Reliability in Infrastructure Asset Management course is $248 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Asset Reliability in IT Asset Management, Reliability-Centered Asset Performance Management, Tailored Course for Asset & Reliability Optimization, Asset Management for Reliability Engineers.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the design and execution of reliability programs comparable in scope to multi-workshop FMEA and RCM initiatives, integrating technical analysis, data systems, and organizational processes typical of enterprise asset management transformations.

Module 1: Foundations of Asset Reliability Strategy

  • Define reliability targets for critical infrastructure assets based on consequence of failure, regulatory requirements, and service-level agreements.
  • Select between reliability-centered maintenance (RCM), predictive maintenance, and run-to-failure strategies for specific asset classes using failure mode data.
  • Map asset criticality using a risk matrix that integrates safety, environmental, operational, and financial impacts.
  • Align reliability objectives with organizational goals such as uptime requirements, lifecycle cost reduction, and regulatory compliance.
  • Establish thresholds for acceptable failure rates and unplanned downtime for key systems like power distribution, water supply, or rail signaling.
  • Integrate reliability performance metrics into existing asset management frameworks such as ISO 55000 or PAS 55.

Module 2: Data Collection and Condition Monitoring Systems

  • Design sensor deployment plans for rotating equipment, structural assets, and electrical systems based on failure likelihood and monitoring cost.
  • Select appropriate condition monitoring technologies (vibration, thermography, oil analysis, corrosion probes) for specific asset types and environments.
  • Implement data acquisition systems that balance sampling frequency, storage costs, and early fault detection capability.
  • Standardize data formats and metadata tagging to ensure interoperability between SCADA, CMMS, and enterprise data platforms.
  • Address data quality issues such as missing readings, sensor drift, and environmental interference in long-term monitoring programs.
  • Develop protocols for periodic calibration and validation of monitoring equipment to maintain measurement integrity.

Module 3: Failure Mode and Effects Analysis (FMEA) in Practice

  • Conduct cross-functional FMEA workshops with operations, maintenance, and engineering teams for high-risk infrastructure systems.
  • Document failure modes for aging assets where original design data is incomplete or outdated.
  • Assign severity, occurrence, and detection ratings using site-specific historical failure data rather than generic tables.
  • Prioritize mitigation actions based on risk priority numbers (RPN) while considering budget constraints and implementation lead times.
  • Update FMEA documentation following major modifications, incidents, or changes in operating conditions.
  • Link FMEA outputs directly to preventive and predictive maintenance task creation in the CMMS.

Module 4: Predictive and Preventive Maintenance Optimization

  • Determine optimal inspection intervals for non-destructive testing (NDT) of bridges, pipelines, and pressure vessels using degradation models.
  • Adjust preventive maintenance schedules based on actual asset condition rather than fixed time or usage intervals.
  • Validate the effectiveness of predictive algorithms by comparing forecasted failures against actual field outcomes over time.
  • Balance the cost of false positives in predictive alerts against the risk of missed failures in critical systems.
  • Integrate wear-part replacement cycles with production or service delivery schedules to minimize disruption.
  • Retire or revise maintenance tasks that show no measurable impact on reliability over multiple cycles.

Module 5: Reliability-Centered Asset Lifecycle Planning

  • Estimate remaining useful life (RUL) of aging infrastructure using degradation trends, inspection results, and environmental stress factors.
  • Develop replacement or refurbishment plans that consider capital availability, supply chain lead times, and system interoperability.
  • Model lifecycle costs for alternative strategies: extend life with upgrades vs. full replacement vs. system redesign.
  • Coordinate reliability data with capital improvement planning to justify funding for high-risk asset interventions.
  • Assess the reliability implications of using refurbished or reconditioned components in safety-critical systems.
  • Update asset registers and digital twins with reliability performance data to inform future design standards.

Module 6: Human and Organizational Factors in Reliability

  • Design maintenance procedures that minimize human error through standardization, checklists, and clear work instructions.
  • Implement competency assurance programs for technicians performing reliability-critical tasks such as alignment or calibration.
  • Investigate root causes of repeat failures to determine whether gaps in training, supervision, or work processes are contributing factors.
  • Structure shift handovers and maintenance logs to ensure continuity of reliability-critical information across teams.
  • Manage workforce transitions during technology upgrades to prevent loss of tacit knowledge about aging infrastructure.
  • Align performance incentives with long-term reliability outcomes rather than short-term productivity metrics.

Module 7: Integration with Enterprise Asset Management Systems

  • Configure CMMS workflows to trigger maintenance actions based on condition thresholds from monitoring systems.
  • Map reliability KPIs (MTBF, MTTR, availability) to asset hierarchies for consistent reporting across portfolios.
  • Automate data flows between IoT platforms, ERP systems, and reliability analytics tools using secure APIs.
  • Define access controls and audit trails for reliability data to ensure integrity and compliance with regulatory requirements.
  • Develop dashboards that highlight emerging reliability trends and exceptions for engineering and executive review.
  • Conduct system integration testing to verify reliability data accuracy after CMMS or SCADA upgrades.

Module 8: Continuous Improvement and Reliability Governance

  • Establish a formal reliability review board to evaluate performance, incidents, and proposed changes to maintenance strategies.
  • Conduct post-failure investigations using root cause analysis (RCA) methods such as Apollo or 5-Whys with documented action tracking.
  • Benchmark reliability performance against peer organizations while accounting for differences in asset age and operating context.
  • Update reliability standards and procedures based on lessons learned from incidents, audits, and technology trials.
  • Manage change control for modifications to critical systems to assess reliability impact before implementation.
  • Audit compliance with reliability processes during internal and external management system assessments.
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