Pideya Learning Academy

Rotating Machine Vibration and Condition Monitoring

Upcoming Schedules

  • Live Online Training
  • Classroom Training

Date Venue Duration Fee (USD)
14 Jul - 18 Jul 2025 Live Online 5 Day 2750
25 Aug - 29 Aug 2025 Live Online 5 Day 2750
10 Nov - 14 Nov 2025 Live Online 5 Day 2750
15 Dec - 19 Dec 2025 Live Online 5 Day 2750
06 Jan - 10 Jan 2025 Live Online 5 Day 2750
17 Mar - 21 Mar 2025 Live Online 5 Day 2750
05 May - 09 May 2025 Live Online 5 Day 2750
16 Jun - 20 Jun 2025 Live Online 5 Day 2750

Course Overview

The Rotating Machine Vibration and Condition Monitoring course by Pideya Learning Academy is an in-depth program designed to equip maintenance, reliability, and engineering professionals with essential skills to monitor the health of rotating machinery using advanced vibration analysis and condition monitoring techniques. As industries strive for higher reliability and reduced maintenance costs, the ability to detect and mitigate machinery faults before failure becomes a strategic necessity.
Globally, unplanned machinery downtime leads to staggering financial losses. According to a study by Deloitte, poor maintenance strategies can reduce a plant’s production capacity by 5% to 20%, while the International Society of Automation (ISA) reports that global industrial downtime costs exceed $50 billion annually. To counter these challenges, industries are increasingly adopting predictive maintenance solutions, with the condition monitoring market projected to grow from $2.9 billion in 2021 to $4.5 billion by 2026, as per Markets and Markets research.
This Pideya Learning Academy course delivers a structured, technical understanding of vibration patterns, signal interpretation, and rotating machinery diagnostics. Participants will explore the critical principles of vibration monitoring, fault detection, and failure mode recognition, enabling them to interpret data from equipment such as compressors, pumps, motors, and turbines with precision. Key highlights integrated into the course content include:
In-depth Vibration Analysis Techniques that allow participants to evaluate mechanical behavior and identify early warning signs of defects.
Advanced Signal Processing Tools for accurately diagnosing machinery faults based on time-domain and frequency-domain data.
Rotating Equipment Health Monitoring with emphasis on identifying issues like misalignment, unbalance, and bearing degradation.
Spectral and Time-Waveform Evaluation, offering strategies to correlate abnormal patterns with specific mechanical faults.
Global Industry Case Studies, reinforcing learning through real-life scenarios from energy, manufacturing, and utility sectors.
Proactive Maintenance Strategy Development, empowering professionals to shift from reactive to predictive models.
Certification-Oriented Curriculum that aligns with international vibration analysis competency standards.
Participants will not only learn to recognize and diagnose vibration signatures of common mechanical faults but also understand how to apply this knowledge to create cost-effective maintenance plans. By integrating global best practices and proven methodologies, the course aims to increase operational reliability, extend equipment life, and reduce unexpected breakdowns.
Through this training, professionals will develop the confidence and technical capability to establish and enhance vibration monitoring frameworks, interpret diagnostics reports, and recommend evidence-based interventions to protect plant assets. The knowledge gained serves as a foundational step toward achieving professional credentials in vibration and condition monitoring, while also aligning with international safety and maintenance benchmarks.

Key Takeaways:

  • In-depth Vibration Analysis Techniques that allow participants to evaluate mechanical behavior and identify early warning signs of defects.
  • Advanced Signal Processing Tools for accurately diagnosing machinery faults based on time-domain and frequency-domain data.
  • Rotating Equipment Health Monitoring with emphasis on identifying issues like misalignment, unbalance, and bearing degradation.
  • Spectral and Time-Waveform Evaluation, offering strategies to correlate abnormal patterns with specific mechanical faults.
  • Global Industry Case Studies, reinforcing learning through real-life scenarios from energy, manufacturing, and utility sectors.
  • Proactive Maintenance Strategy Development, empowering professionals to shift from reactive to predictive models.
  • Certification-Oriented Curriculum that aligns with international vibration analysis competency standards.
  • In-depth Vibration Analysis Techniques that allow participants to evaluate mechanical behavior and identify early warning signs of defects.
  • Advanced Signal Processing Tools for accurately diagnosing machinery faults based on time-domain and frequency-domain data.
  • Rotating Equipment Health Monitoring with emphasis on identifying issues like misalignment, unbalance, and bearing degradation.
  • Spectral and Time-Waveform Evaluation, offering strategies to correlate abnormal patterns with specific mechanical faults.
  • Global Industry Case Studies, reinforcing learning through real-life scenarios from energy, manufacturing, and utility sectors.
  • Proactive Maintenance Strategy Development, empowering professionals to shift from reactive to predictive models.
  • Certification-Oriented Curriculum that aligns with international vibration analysis competency standards.

Course Objectives

After completing this Pideya Learning Academy training, participants will learn:
The foundational concepts and significance of vibration monitoring.
How to analyze vibration data to identify mechanical faults.
The application of spectral and time-waveform analysis in maintenance diagnostics.
Advanced signal interpretation techniques for fault detection.
Key failure modes in rotating machinery and how to assess them.
Methods to improve reliability through predictive condition monitoring.
Techniques to optimize equipment performance based on vibration insights.
Internationally recognized strategies and standards in condition monitoring.
Approaches to reduce operational risks and enhance equipment availability.
Core knowledge areas relevant for professional vibration certification pathways.

Personal Benefits

Participants completing this Pideya Learning Academy course will gain:
Advanced understanding of machinery vibration diagnostics.
The ability to interpret complex vibration data for maintenance decisions.
Competence in condition monitoring techniques across industries.
Increased credibility and recognition in the field of reliability engineering.
Career advancement through preparation for industry-recognized certifications.
The confidence to contribute to organizational performance improvements.

Organisational Benefits

Who Should Attend

This course is ideal for professionals involved in the maintenance, reliability, and monitoring of mechanical systems, including:
Maintenance Engineers
Mechanical Engineers
Electrical Engineers
Reliability Engineers
Plant Engineers
Condition Monitoring Specialists
Fault Diagnosis Engineers
Maintenance Supervisors
Technicians involved in equipment monitoring
This Pideya Learning Academy program is particularly valuable for those seeking to enhance their expertise in vibration analysis and contribute to the operational excellence of their organizations.

Course Outline

Module 1: Core Concepts in Vibration Engineering
Fundamentals of Mechanical Oscillations Dynamics of Mass-Spring-Damper Systems Signal Representation in Mechanical Systems Time Series vs. Frequency Response Analysis Interpreting Amplitude, Velocity, and Acceleration Performance Metrics for Vibration Severity
Module 2: Rotating Equipment Dynamics and Balancing
Mechanisms of Rotor Unbalance and Its Impact Principles of Dynamic Equilibrium in Rotating Machinery Comparative Analysis: Single-Plane vs. Dual-Plane Balancing Vector Method and Influence Coefficient Technique Balancing to ISO 1940/1 Specifications Balancing in Variable-Speed and Flexible Shaft Systems
Module 3: Spectral Analysis and Diagnostic Techniques
Fast Fourier Transform (FFT) Theory and Tools Spectral Peaks Interpretation for Fault Classification Application of Window Functions in FFT High-Resolution Data Acquisition for Diagnostics Common Noise Sources and Aliasing Errors Spectrogram and Waterfall Plot Visualization
Module 4: Condition Monitoring Infrastructure and Strategies
Classification of Data Acquisition Devices Integration of Wireless Sensors and Edge Devices Centralized vs. Distributed Monitoring Architectures Strategies for Remote Condition Monitoring Data Logging with Timestamp Synchronization Predictive Systems Using Cloud-Based Analytics
Module 5: Alarm Settings and Prognostic Decision-Making
ISO Vibration Standards for Alarm Thresholds Tiered Alarm Levels: Caution, Alert, Danger Implementing Machine-Specific Baselines Statistical and Predictive Alarm Models Automated Alerts with Machine Learning Rules Real-World Examples of Alarm System Effectiveness
Module 6: Structural Behavior and Modal Characterization
Modal Behavior of Structural Systems Techniques to Identify Resonance and Critical Speeds Modal Testing Using Instrumented Impact Hammers Operational Deflection Shape Visualization Techniques Boundary Condition Effects on Natural Frequencies Case Studies on Structure-Borne Resonance Failures
Module 7: Mechanical Excitation and Force Vector Analysis
Identification of Internal and External Vibration Forces Machine Fault Frequencies: Bearings, Gears, and Couplings Analysis of Misalignment and Mechanical Looseness Gear Mesh Frequency and Sideband Interpretation Harmonic Content Analysis and Signal Decomposition Application of Order Tracking in Rotating Systems
Module 8: Strategies for Vibration Control and Correction
Precision Alignment and Installation Standards Onsite Balancing Techniques for Maintenance Teams Isolation of Vibrating Sources with Structural Modifications Application of Tuned Mass Dampers Diagnostic Case Reviews on Fault Rectification Installation Torque and Its Role in Vibration Behavior
Module 9: Machinery Isolation and System Damping Techniques
Overview of Passive and Active Isolation Technologies Application of Rubber, Neoprene, and Wire Rope Mounts Structural Reinforcement to Reduce Vibrational Transmission Use of Constrained Layer and Viscoelastic Damping Base Mat Design and Machinery Skid Foundation Considerations Best Practices in Installing Shock and Vibration Isolators
Module 10: Comprehensive Signal Processing in Vibration Analytics
Signal Conditioning and Amplification Cross-Correlation and Coherence Analysis Cepstrum and Kurtosis for Bearing Fault Detection Orbit and Shaft Centerline Analysis Synchronous Averaging for Gear Diagnostics Utilization of Machine Learning for Pattern Recognition
Module 11: Equipment-Specific Monitoring Techniques
High-Precision Monitoring of Electrical Motors Early Fault Detection in Fans and Industrial Blowers Pressure Pulsation and Flow-Induced Vibration in Pumps Condition Monitoring in Reciprocating Compressors Rotor Dynamics in Turbomachinery Unique Vibration Profiles in Forging Presses and Crushers
Module 12: Digital Technologies in Predictive Maintenance
Role of Vibration Monitoring in Reliability-Centered Maintenance Asset Health Indexing Using Predictive Analytics AI/ML-Driven Anomaly Detection Models Industrial Internet of Things (IIoT) Sensor Deployment Real-Time Diagnostics via Edge Computing Platforms Evolution of Autonomous Maintenance Systems
Module 13: Advanced Diagnostics for Critical Rotating Assets
Transient Vibration Analysis During Speed Variations Soft Foot, Resonance, and Structural Looseness Detection Shaft Crack Detection through Phase Analysis Rolling Element Bearing Fault Severity Assessment Combined Thermal and Vibration Diagnostics Electrical Fault Detection via Vibration Signals

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