Asset Health Management

Asset Health Management

Asset Health Management

Asset Health Management (AHM)

A Five-Day Intensive Training Program for Operational Excellence

DAY 1: Foundations of AHM & Introduction to Condition Monitoring

Module 1.1: Introduction to Asset Health Management

Explore the critical role of Asset Health Management in modern industry. Understand its evolution, benefits, and the impact on operational efficiency and profitability.

  • What is Asset Health Management (AHM)?
  • The Cost of Asset Failure and Downtime
  • Evolution of Maintenance Strategies (Reactive to Proactive)
  • Key Drivers for AHM Implementation
  • Benefits and Challenges of AHM
Module 1.2: Fundamentals of Condition Monitoring (CM)

Delve into the core concepts of Condition Monitoring – the backbone of modern predictive maintenance. Learn its principles, objectives, and where it fits within the broader AHM strategy.

  • Defining Condition Monitoring: Principles and Applications
  • Objectives of a CM Program
  • Key Parameters Monitored in Rotating Machinery
  • Overview of Common CM Technologies (Vibration, Thermal, Oil, Ultrasound)
  • Setting up a Basic CM Program: Sensors, Data Acquisition, Alarms

DAY 2: Core Condition Monitoring Technologies - Vibration & Thermography

Module 2.1: Vibration Analysis for Machine Health

Master the fundamentals of vibration analysis, a cornerstone of predictive maintenance. Learn to identify common machinery faults through vibration signatures.

  • Principles of Vibration: Displacement, Velocity, Acceleration
  • Vibration Sensors & Data Acquisition Systems
  • Time Waveform vs. Frequency Spectrum (FFT) Analysis
  • Common Fault Signatures: Unbalance, Misalignment, Looseness
  • Bearing Defects and Gearbox Faults Identification
  • Setting Alarm Limits and Baselines
Module 2.2: Infrared Thermography & Electrical Diagnostics

Understand the theory and practical application of infrared thermography for detecting thermal anomalies in mechanical and electrical systems.

  • Theory of Infrared Radiation and Heat Transfer
  • Infrared Cameras: Types, Operation, and Emissivity Considerations
  • Applications: Electrical Systems (overheating connections, overloaded circuits)
  • Applications: Mechanical Systems (bearings, couplings, fluid leaks)
  • Process Applications: Insulation, Refractory, Steam Traps
  • Image Interpretation and Reporting Guidelines

DAY 3: Advanced CM & Non-Destructive Testing (NDT) Techniques

Module 3.1: Other Advanced CM Technologies

Expand your knowledge to include other powerful condition monitoring tools, providing a comprehensive view of asset health.

  • Ultrasonic Testing (Airborne & Contact):Leak detection, bearing analysis, electrical arcing
  • Motor Current Signature Analysis (MCSA):Rotor bar issues, stator faults, air gap eccentricities
  • Acoustic Emission:Crack propagation, active corrosion, structural integrity
  • Process Parameter Monitoring:Pressure, flow, temperature trends
  • Integration of Multiple CM Technologies for holistic view
Module 3.2: Fundamentals of Non-Destructive Testing (NDT)

Discover the essential role of NDT in identifying defects without compromising asset integrity. Learn about various techniques and their applications.

DAY 4: Lubricant Analysis & Maintenance Regimes

Module 4.1: Understanding Lubricant Analysis (Oil & Grease)

Dive deep into the world of lubricant analysis, a powerful diagnostic tool for machine health and extending asset life.

Critical importance of proper sampling techniques to ensure representative samples.

  • Sampling points, frequency, and procedures
  • Contamination prevention during sampling
Module 4.2: Overview of Maintenance Regimes

Explore the spectrum of maintenance strategies and learn how to select and optimize them for different asset types and operational contexts.

  • Reactive Maintenance (Run-to-failure)High Risk
  • Preventive Maintenance (Time-based, Usage-based)Scheduled
  • Predictive Maintenance (Condition-based)Data-driven
  • Proactive Maintenance (Root Cause Analysis, Design for Reliability)Root Cause
  • Developing a Blended Maintenance Strategy
  • Cost-Benefit Analysis of Different Regimes

DAY 5: Reliability-Centered Maintenance (RCM) & AHM Implementation

Module 5.1: Principles and Process of Reliability-Centered Maintenance (RCM)

Uncover the strategic approach of RCM to optimize maintenance tasks based on asset functions and failure consequences.

What is RCM? History & Objectives
Strategic Approach

Focus on preserving functions, identifying failure modes, and managing consequences.

The RCM Decision-Making Process
7 Questions

Defining functions, functional failures, failure modes & effects (FMEA), failure consequences.

Task Selection & Default Actions
Proactive vs. Reactive

Condition-based tasks, scheduled overhaul/replacement, failure-finding tasks, run-to-failure.

Benefits, Challenges & Critical Success Factors of RCM
Implementation Insight

Improved reliability, cost reduction, safety. Requires dedicated resources and commitment.

Module 5.2: Implementing an Integrated AHM Strategy

Synthesize all learned concepts into a coherent strategy for practical implementation of AHM in your organization.

AHM Implementation Roadmap
  • Phase 1: Assessment & Planning- Current state analysis, goal setting, asset criticality.
  • Phase 2: Technology Selection & Integration- Choosing CM/NDT tools, CMMS/EAM integration.
  • Phase 3: Program Rollout & Data Management- Pilot projects, data collection, analysis, reporting.
  • Phase 4: Optimization & Continuous Improvement- Performance measurement, feedback loops, RCM reviews.
Measuring AHM Success
Key Performance Indicators (KPIs)

MTBF (Mean Time Between Failures), MTTR (Mean Time To Repair), OEE (Overall Equipment Effectiveness), Maintenance Costs, Safety Incidents.

Achieve Sustainable Operational Excellence

This training is your gateway to achieving world-class operational performance. By mastering Asset Health Management, you will be able to:


Increase Asset Uptime

Reduce Maintenance Costs

Enhance Safety & Compliance

Extend Asset Lifespan

Improve ROI on Assets

Empower your team with the knowledge and skills to implement effective asset health strategies that directly contribute to your organization's profitability and competitive edge. This course provides the strategic insights and tactical guidance needed to build a truly resilient and high-performing asset base.


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Comprehensive Asset Health Management Training

Dive deep into the methodologies and technologies crucial for maintaining optimal asset performance and ensuring long-term operational sustainability. This intensive training program covers everything from foundational principles to advanced analytical techniques, designed to empower your team.

What You'll Learn
Key Learning Objectives:
  • Understand the core concepts of Asset Health Management (AHM) and its benefits.
  • Implement effective condition monitoring techniques (vibration, thermography, oil analysis).
  • Master data acquisition, analysis, and interpretation for predictive maintenance.
  • Develop strategies for Root Cause Analysis (RCA) and Failure Mode and Effects Analysis (FMEA).
  • Optimize maintenance planning, scheduling, and spare parts management.
  • Leverage IoT, AI, and Machine Learning for advanced asset prognostics.
  • Measure and report on asset performance and reliability KPIs.
Who Should Attend
Ideal for professionals responsible for:
  • Maintenance Managers & Supervisors
  • Reliability Engineers & Technicians
  • Operations & Production Managers
  • Plant Engineers & Technical Directors
  • Condition Monitoring Specialists
  • Anyone involved in asset lifecycle management.

Participants will leave with actionable insights and practical skills to implement or enhance an Asset Health Management program within their organization, driving significant improvements in reliability, efficiency, and cost-effectiveness. This training is designed to foster a culture of proactive maintenance.

Course Modules Overview
Foundations of AHM

Introduction to asset management, maintenance strategies (RCM, TPM), and the role of asset health in operational excellence.

Condition Monitoring Techniques

In-depth exploration of vibration analysis, thermal imaging, oil analysis, and other NDT methods for early fault detection.

Data Analytics & Prognostics

Utilizing data science, AI, and Machine Learning for predictive modeling, remaining useful life (RUL) estimation, and failure prediction.

Root Cause & Failure Analysis

Methodologies for investigating failures, identifying root causes, and implementing corrective actions to prevent recurrence (RCA, FMEA).

Maintenance Optimization

Strategic planning, scheduling, work order management, and inventory control for efficient and effective maintenance operations.

Digital AHM & Future Trends

Exploring CMMS/EAM integration, IoT platforms, digital twins, and the future landscape of Asset Health Management technologies.