Pideya Learning Academy

Reliability Optimization and Continuous Improvement for Rotating Equipment

Upcoming Schedules

  • Live Online Training
  • Classroom Training

Date Venue Duration Fee (USD)
24 Feb - 28 Feb 2025 Live Online 5 Day 2750
10 Mar - 14 Mar 2025 Live Online 5 Day 2750
21 Apr - 25 Apr 2025 Live Online 5 Day 2750
09 Jun - 13 Jun 2025 Live Online 5 Day 2750
11 Aug - 15 Aug 2025 Live Online 5 Day 2750
15 Sep - 19 Sep 2025 Live Online 5 Day 2750
13 Oct - 17 Oct 2025 Live Online 5 Day 2750
24 Nov - 28 Nov 2025 Live Online 5 Day 2750

Course Overview

In modern industrial ecosystems, rotating equipment is a vital component underpinning operational efficiency, safety, and profitability. From pumps and compressors to turbines, gearboxes, and motors, these mechanical systems are responsible for the continuous flow of energy, fluids, and processes in sectors such as oil & gas, petrochemicals, mining, manufacturing, and energy generation. Yet, equipment failures remain a major disruptor. A study by McKinsey & Company revealed that unplanned downtime costs manufacturers an estimated $50 billion annually, with 42% of those losses directly attributed to equipment failure. This staggering figure underscores the critical need for a structured and strategic approach to reliability optimization.
Pideya Learning Academy presents the Reliability Optimization and Continuous Improvement for Rotating Equipment training course to help organizations transform their asset management performance by embracing modern, cost-efficient reliability engineering frameworks. This course is uniquely designed to replace outdated preventive maintenance routines with advanced techniques in condition monitoring, failure mode analysis, and predictive maintenance planning—all tailored specifically to the unique characteristics and failure behaviors of rotating machinery.
The curriculum empowers participants with robust strategies for reliability allocation—where each component of the equipment is analyzed for its reliability contribution based on a cost-benefit framework rather than redundancy. Participants will learn how to apply targeted reliability thresholds to individual system elements, enabling better resource allocation and long-term performance gains. Integrated into the learning journey are diagnostic tools such as vibration analysis, acoustic monitoring, thermal imaging, and lubrication testing, which are essential for detecting early-stage degradation. In addition, participants will explore structured methodologies for root cause failure analysis (RCFA), performance benchmarking, and reliability audits.
This comprehensive training, developed by Pideya Learning Academy, integrates high-impact learning highlights that include:
Detailed study of rotating equipment failure modes and degradation mechanisms
Use of advanced condition monitoring technologies such as thermography, vibration diagnostics, and acoustic emission tools
Implementation of predictive maintenance models supported by data analytics
Frameworks for strategic reliability allocation and cost-effective equipment management
Systematic execution of root cause failure analysis (RCFA) techniques for chronic and sudden failures
Pre-commissioning and operational readiness strategies to ensure equipment uptime from day one
Guidance on improving mean time between failures (MTBF) and minimizing mean time to repair (MTTR)
Participants will gain not only technical competence but also the strategic acumen to align maintenance objectives with broader business goals. By implementing these methodologies, organizations can enhance asset integrity, reduce unscheduled shutdowns, and ensure compliance with safety and performance standards. The course addresses international reliability standards and offers a clear roadmap for achieving operational excellence through targeted equipment management initiatives.
The Reliability Optimization and Continuous Improvement for Rotating Equipment course is a valuable resource for professionals seeking to drive operational efficiency and long-term sustainability. Delivered by industry experts through Pideya Learning Academy, the training is structured to support learning retention and real-world application. Each topic is delivered with clarity and purpose, enabling participants to immediately translate concepts into actionable strategies in their own work environments.
In an era where industrial competitiveness is measured by uptime, efficiency, and reliability, this course ensures that professionals are equipped with the latest tools and methodologies to manage their rotating equipment assets with precision and foresight. Whether you’re managing centrifugal pumps in a refinery or motors in a manufacturing line, the insights provided by this training will contribute directly to improved performance and reduced lifecycle costs.

Course Objectives

After completing this Pideya Learning Academy training, the participants will learn to:
Understand strategic reliability planning for rotating equipment optimization
Identify and categorize failure types for both repairable and non-repairable systems
Explain how maintenance strategies directly impact equipment reliability and lifecycle cost
Execute structured root cause failure analysis (RCFA) for persistent issues in pumps, compressors, and turbines
Apply condition monitoring techniques including vibration, thermal, and oil analysis
Differentiate between fault avoidance and redundancy strategies in component design
Employ predictive maintenance techniques for reliability-centered decision-making
Interpret condition monitoring data to forecast potential failures and take preventive action
Improve mean time between failures (MTBF) and reduce mean time to repair (MTTR)
Integrate commissioning and pre-commissioning best practices into reliability strategies

Personal Benefits

Broadened expertise in failure diagnostics and reliability planning
Greater confidence in applying predictive maintenance techniques
Improved capability in implementing RCFA across departments
Recognition as a reliability-focused leader within technical teams
Career advancement opportunities through specialized knowledge

Organisational Benefits

Reduced downtime and operational disruptions
Enhanced return on maintenance investments
Streamlined commissioning and inspection protocols
Increased plant availability and asset longevity
Improved data-driven reliability decision-making
Enhanced safety compliance through early fault detection

Who Should Attend

This training course is designed for:
Maintenance and Reliability Engineers
Plant Engineers and Section Heads
Machinery Engineers and Supervisors
Maintenance Planners and Foremen
PMV and Asset Management Professionals
Operations Engineers and Maintenance Managers
Technical Leads responsible for rotating equipment performance

Course Outline

Module 1: Failure Mechanisms and Wear Analysis
Introduction to Equipment Failure Modes Mechanical Failure Classifications Fundamentals of Wear and Surface Degradation Introduction to Tribology in Rotating Machinery Fatigue Failure Mechanisms in Metals Case Studies in Fatigue-Induced Cracks Common Bearing Failure Patterns Analysis of Tilt-Pad and Anti-Friction Bearing Issues Seal Failures in High-Pressure and High-Temperature Systems Root Causes of Plain Bearing Deterioration Effects of Load, Speed, and Lubrication on Wear Predictive Indicators of Mechanical Degradation
Module 2: Failure Prevention and Engineering Analysis
Engineering Methods for Root Cause Identification Introduction to Failure Mode and Effects Analysis (FMEA) FMECA for Critical Equipment and Subsystems Structured Troubleshooting Approaches Fault Tree Analysis (FTA) and Event Tree Analysis (ETA) Statistical Failure Rate Modelling Weibull Analysis and Probability Plotting Reliability Metrics and Failure Probability Curves Maintainability Indexing and Design Improvements Calculating MTTR, MTTF, and MTBF Design for Reliability (DfR) and Maintainability Condition-Based Failure Mitigation Strategies
Module 3: Preventive Maintenance and Asset Planning
Overview of Preventive Maintenance (PM) Methodologies Historical Evolution of PM Strategies Total Productive Maintenance (TPM) Concepts Preventive vs Predictive vs Reactive Maintenance Maintenance Optimization Models Using CMMS (Computerized Maintenance Management Systems) Asset Criticality Ranking for Maintenance Prioritization Failure Mode Profiling and Monitoring Schedules Selecting Maintenance Tools and Techniques Maintenance Task Standardization and Checklists Reliability-Centered Maintenance (RCM) Foundations PM Cost vs Downtime Trade-Offs
Module 4: Predictive Diagnostics and Vibration Monitoring
Introduction to Predictive Maintenance (PdM) Concepts Fundamentals of Vibration Analysis Techniques Understanding Frequency Spectrum and FFT Applications Types and Selection of Vibration Transducers Signal Processing Techniques in Predictive Diagnostics Identifying Unbalance, Misalignment, and Looseness Vibration Alarm Thresholds and ISO Standards Resonance Detection and Mode Shape Analysis Demodulation Techniques: Enveloping, HFD, PeakVue Bearing Condition Monitoring via Vibration Trends Case Study: Bearing Fault Frequency Identification Vibration Diagnostics for Gear Mesh Irregularities
Module 5: Advanced Condition Monitoring Techniques
Infrared Thermography: Principles and Sensor Types Electrical and Mechanical Thermographic Analysis Heat Signature Evaluation and Thermal Mapping Introduction to Acoustic Emission Monitoring Contact and Non-Contact Ultrasonics in Maintenance Airborne Ultrasound Detection of Leaks and Arcing Lubricant Health Monitoring: Viscosity and Additives Ferrography and Wear Debris Analysis Particle Count and Contamination Control in Fluids Oil Condition Trend Analysis for Machinery Health Comparative Review of Predictive Technologies Integrating PdM Tools with Digital Twin Platforms
Module 6: Performance Optimization and Maintenance Integration
Maintenance Performance Metrics and KPIs Efficiency Monitoring for Maintenance Operations Standardizing Data Collection and Reporting Structures CMMS Reporting Tools and Analytics Budgeting and Cost-Benefit Evaluation of Maintenance Plans Aligning Maintenance Schedules with Production Goals Failure Trending and Predictive Forecasting Creating a Balanced Maintenance Strategy (PM + PdM) Workforce Scheduling and Resource Allocation Integration of IoT and Smart Sensors in Maintenance Continuous Improvement in Maintenance Operations Governance and Compliance in Maintenance Management

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