Course Details
A foundational introduction to vibration analysis based on ISO 18436-2 principles. This course supports technicians and engineers in understanding how vibration patterns reflect machinery condition, enabling structured assessment, early fault recognition, and informed maintenance decisions.
Learning Objectives
- Build a clear understanding of maintenance strategies and where condition monitoring fits.
- Learn the core principles that define vibration behavior and how these signals reflect equipment health.
- Understand how to capture, validate, and interpret vibration data for machinery assessment.
- Identify common mechanical and electrical fault patterns and establish suitable alarm boundaries.
Course Outline
This introductory vibration analysis course helps technicians and engineers understand how machine vibration reflects equipment condition. It provides a practical foundation for recognizing early faults, assessing machine health, and supporting informed maintenance decisions.
The program follows the principles of ISO 18436-2 and focuses on clear concepts, structured methods, and real maintenance applications.
Module 1: Maintenance Practices
A structured review of modern maintenance approaches, including predictive, preventive, and corrective methods. The module explains how vibration analysis supports lower downtime, better planning, and consistent machinery performance.
Module 2: Condition Monitoring โ Function and Importance
An overview of condition monitoring as a continuous health-tracking approach. Content includes performance indicators, reliability considerations, and how monitored data helps reduce unexpected failures and operating disruptions.
Module 3: Principles of Vibration Analysis
Covers the fundamental elements of vibration: amplitude, frequency, and phase. The module explains how machine components generate characteristic vibration patterns and how these patterns relate to operational behavior.
Module 4: Data Acquisition Techniques
Introduces the essential steps in collecting vibration data. Topics include selecting suitable measurement devices, ensuring correct sensor placement, understanding sampling considerations, and maintaining data quality.
Module 5: Signal Processing in Vibration Analysis
Explains the basic signal-processing tools used to interpret vibration data. Includes filtering concepts, time-domain and frequency-domain evaluation, and foundational tools such as FFT and envelope techniques.
Module 6: Vibration Analysis Workflow
Provides a structured workflow for conducting vibration analysis. Topics include distinguishing normal patterns from irregular signatures and examining scenario-based examples that illustrate decision-making in real applications.
Module 7: Fault Diagnosis for Mechanical and Electrical Systems
Focuses on identifying common fault types in machinery. Learners review bearing wear indicators, gear-related patterns, motor characteristics, pump behavior, imbalance, misalignment, and other frequently observed issues.
Module 8: Establishing Alarm Limits
Describes how to define vibration thresholds and set appropriate alarm levels. This includes interpreting historical trends, evaluating changes over time, and adapting alarm boundaries to improve early detection accuracy.
Who Can Benefit
- Maintenance technicians and supervisors
- Reliability engineers
- Condition monitoring practitioners
- Mechanical and electrical engineering personnel
Certification
Participants who complete the program receive VCAT-I Vibration Analysis Certification, aligned with ISO 18436-2 competency requirements.
Methodology
The content is structured using semantic clustering, NLP-based topic mapping, and intent-aligned wording to maintain clarity and improve search relevance. Each section follows human-readable patterns supported by domain-specific terminology without promotional claims. Modules are rewritten to create unique phrasing, balanced density, and improved contextual coherence for search engines while maintaining accuracy for learners in Abu Dhabi and the broader region.