Industrial Maintenance and Vibration Analysis Course

Lesson 1 • Maintenance Strategy Overview

Compares reactive, preventive, predictive, and proactive maintenance approaches. Provides the strategic framework applied throughout the course.

Lesson 2 • Industrial Equipment and Plant Systems

Introduces rotating and static equipment types found in industrial facilities. Builds vocabulary essential for all subsequent maintenance and analysis topics.

Lesson 3 • Maintenance Safety Fundamentals

Covers lockout/tagout, energy isolation, and permit-to-work systems used during maintenance tasks. Ensures safe work habits before hands-on activities begin.

Lesson 1 • Basic Vibration Concepts

Defines displacement, velocity, acceleration, frequency, and amplitude as vibration parameters. These parameters are referenced in every subsequent measurement and analysis chapter.

Lesson 2 • Single and Multi-Degree-of-Freedom Systems

Introduces mass-spring-damper models and extends them to multi-degree systems. Provides the analytical basis for interpreting complex machine vibration spectra.

Lesson 3 • Free and Forced Vibration

Distinguishes natural frequency, resonance, and forced vibration in mechanical systems. Understanding resonance is critical for diagnosing structural and rotor problems.

Lesson 1 • Portable Data Collectors and Analyzers

Introduces handheld data collectors, route-based measurement programs, and real-time analyzers. Students practice setting up measurement routes and downloading data.

Lesson 2 • Calibration and Measurement Verification

Covers calibration shakers, reference standards, and field verification checks for measurement accuracy. Calibration ensures data integrity before any diagnostic conclusions are drawn.

Lesson 3 • Vibration Sensor Types and Selection

Compares accelerometers, velocity transducers, and proximity probes by operating range and application. Correct sensor selection directly affects data quality in all analyses.

Lesson 4 • Sensor Mounting Methods and Best Practices

Examines stud, adhesive, magnet, and handheld mounting techniques and their effect on frequency response. Proper mounting is prerequisite to reliable data collection.

Lesson 1 • Time Waveform Analysis

Analyzes raw time-domain signals to detect impacts, modulation, and waveform distortion. Time waveform review complements spectrum analysis and reveals transient events.

Lesson 2 • Spectrum Setup and Averaging

Covers frequency span, resolution selection, and averaging methods for stable spectra. Correct setup prevents misdiagnosis caused by noisy or aliased spectra.

Lesson 3 • Advanced Signal Processing Techniques

Introduces enveloping, cepstrum, and order tracking for enhanced fault detection. These techniques extend diagnostic capability beyond standard FFT analysis.

Lesson 4 • Identifying Frequency Components

Teaches identification of 1X, 2X, sub-synchronous, and non-synchronous peaks in spectra. Frequency component recognition is the core skill for all fault diagnosis chapters.

Lesson 1 • Resonance and Critical Speed Issues

Detects resonance through coast-down tests, bump tests, and operating deflection shapes. Resonance amplifies other faults and must be identified before corrective actions are planned.

Lesson 2 • Imbalance Detection and Classification

Identifies static, dynamic, and couple imbalance from vibration amplitude and phase patterns. Imbalance is the most common rotating machinery fault and the diagnostic baseline.

Lesson 3 • Mechanical Looseness Patterns

Recognizes structural looseness, bearing looseness, and rotating looseness from harmonic series in spectra. Looseness patterns often mask or amplify other faults.

Lesson 4 • Shaft Misalignment Diagnosis

Distinguishes angular, parallel, and combined misalignment using 2X dominance and phase relationships. Misalignment diagnosis requires phase data introduced in earlier chapters.

Lesson 1 • Bearing Geometry and Defect Frequencies

Calculates BPFO, BPFI, BSF, and FTF from bearing geometry and shaft speed. Accurate frequency calculation is the prerequisite for all bearing fault identification.

Lesson 2 • Bearing Lubrication and Installation Effects

Connects lubrication deficiency, over-greasing, and improper installation to specific vibration signatures. Lubrication and installation errors are leading causes of premature bearing failure.

Lesson 3 • Bearing Condition Trending and Alarms

Establishes baseline measurements, statistical alarm bands, and trending methods for bearing health monitoring. Trending converts single measurements into actionable maintenance decisions.

Lesson 4 • Bearing Fault Progression Stages

Maps the four-stage bearing degradation model from ultrasonic detection to catastrophic failure. Stage awareness guides alarm setting and maintenance scheduling decisions.

Lesson 1 • Shaft Alignment Principles and Methods

Covers rim-and-face, reverse-dial, and laser alignment methods for coupled machinery. Alignment method selection depends on equipment access and required precision.

Lesson 2 • Soft-Foot Detection and Correction

Identifies parallel, angular, and induced soft-foot conditions that undermine alignment quality. Soft-foot must be corrected before final alignment adjustments are made.

Lesson 3 • Two-Plane Field Balancing

Extends balancing to two correction planes for long rotors exhibiting dynamic imbalance. Two-plane balancing requires mastery of single-plane methods and phase measurement.

Lesson 4 • Single-Plane Field Balancing

Executes the four-run and influence coefficient methods for single-plane rotor correction. Single-plane balancing is the entry-level field skill before two-plane work.

Lesson 1 • Alarm and Alert Threshold Setting

Establishes overall, band, and bearing-specific alarms using statistical and standards-based methods. Proper alarm setting minimizes false positives and missed fault detections.

Lesson 2 • Fault Reporting and Work Order Integration

Connects vibration findings to computerized maintenance management system work orders. Effective reporting translates diagnostic conclusions into timely corrective actions.

Lesson 3 • Continuous Improvement and Program Maturity

Applies reliability-centered maintenance principles and maturity models to evolve the PdM program. Continuous improvement sustains long-term program value and analyst skill development.

Lesson 4 • Program KPIs and Performance Metrics

Defines mean time between failures, fault detection rate, and cost avoidance metrics for program evaluation. KPIs justify program investment and guide continuous improvement.