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Vibration Analysis for Condition Monitoring Training Course

Trains maintenance teams to collect and interpret vibration data, reading spectra and waveforms to catch developing faults in pumps, motors and fans early.

MAI · Maintenance EngineeringAll Levels#2366ClassroomEnglish , Arabic
Duration
5 Days
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Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy

Course Overview

The Vibration Analysis for Condition Monitoring Training Course equips maintenance, reliability, and condition monitoring professionals with the knowledge and practical skills needed to collect, analyze, and interpret vibration data to detect developing machinery faults early and support sound maintenance decisions. Vibration analysis is one of the most effective predictive maintenance technologies for rotating equipment such as pumps, motors, fans, compressors, gearboxes, and turbines in oil and gas, petrochemical, power, water, manufacturing, and facilities operations. When applied well, it reduces unplanned failures, extends equipment life, and optimizes maintenance costs; when applied poorly, it produces unreliable data, missed faults, and unnecessary interventions. The course builds from vibration fundamentals to fault diagnosis and program management. Participants learn vibration parameters and units, time waveform and spectrum analysis, and the effects of analyzer settings, as well as sensor selection and mounting, data collection routes, and online and wireless monitoring systems. The program then covers vibration severity assessment using international standards, diagnosis of common machinery faults, including unbalance, misalignment, looseness, bent shafts, resonance, rolling element bearing defects, journal bearing instabilities, gear problems, belt problems, electrical motor faults, and pump and fan problems, and advanced techniques such as enveloping, phase analysis, orbit analysis, and resonance testing. Participants also learn alarm setting and trending, reporting and recommendations, corrective actions such as field balancing and precision alignment, integration with other condition monitoring technologies, and how to establish and improve a condition monitoring program. The course is delivered through vibration spectrum and waveform interpretation exercises using real-machine data, case studies, and program planning workshops. Participants leave with a vibration fault diagnosis chart, a data collection and sensor mounting guide, an alarm setting and severity assessment guide, a vibration report template, and a condition monitoring program implementation checklist. This course builds practical analysis skills and covers knowledge areas relevant to vibration analyst development, but it is not a certification program.

Learning Objectives

  • Analyze the role of vibration analysis in condition monitoring and predictive maintenance on Day 1.
  • Explain vibration fundamentals, including amplitude, frequency, phase, and displacement, velocity, and acceleration measurements.
  • Interpret time waveforms and frequency spectra and apply appropriate analyzer settings, including resolution, averaging, and windowing.
  • Select and mount vibration sensors, including accelerometers, velocity transducers, and proximity probes, for reliable data collection.
  • Plan data collection routes and evaluate portable, online, and wireless vibration monitoring systems.
  • Assess vibration severity using international standards and establish alarm limits and trending practices.
  • Diagnose unbalance, misalignment, looseness, bent shafts, and eccentricity from vibration data.
  • Identify natural frequencies and resonance using phase analysis, impact testing, and run-up and coast-down data.
  • Diagnose rolling element bearing defects using spectrum analysis and enveloping techniques.
  • Diagnose journal bearing, gear, belt, electrical motor, pump, fan, and compressor faults.
  • Prepare clear vibration reports and recommend corrective actions, including field balancing and precision alignment.
  • Integrate vibration analysis with other condition monitoring technologies and develop a condition monitoring program improvement plan by the end of Day 5.

Who Should Attend

This course is designed for condition monitoring technicians and engineers, reliability engineers, mechanical and rotating equipment engineers, and maintenance engineers and supervisors responsible for rotating machinery. It is also relevant for maintenance planners, instrumentation technicians supporting online monitoring systems, and engineers and technicians starting or developing careers in vibration analysis. It is particularly valuable for professionals in oil and gas, refining, petrochemical, and fertilizer plants; in power generation, water, and desalination utilities; in manufacturing, mining, cement, steel, and aluminum facilities; in facilities management organizations with large HVAC and pumping systems; and in condition monitoring service providers.

Learning Outcomes

  • By the end of the course, participants will be able to:
  • Explain how vibration analysis supports predictive maintenance.
  • Understand the basic principles and measurements of vibration.
  • Read and interpret waveforms and spectra.
  • Select and mount sensors correctly and collect reliable data.
  • Set up effective data collection routes and monitoring systems.
  • Assess vibration severity and set meaningful alarms.
  • Diagnose unbalance, misalignment, and looseness confidently.
  • Identify resonance and its effects on machinery.
  • Detect rolling element bearing defects at an early stage.
  • Diagnose common faults in gears, motors, pumps, and fans.
  • Write clear vibration reports with practical recommendations.
  • Strengthen their organization's condition monitoring program.

Course Outline

Course Outline:

Day 1

Vibration Fundamentals and Data Collection

  • Vibration analysis in condition monitoring and predictive maintenance
  • Amplitude, frequency, phase, and measurement units
  • Sensors, mounting methods, and data quality
  • Data collection routes and online and wireless monitoring systems
  • Practical application: participants plan a data collection route and evaluate sensor mounting options
Day 2

Signal Analysis and Severity Assessment

  • Time waveform and spectrum analysis
  • Analyzer settings: resolution, averaging, and windowing
  • Vibration severity standards
  • Alarm setting and trending
  • Practical application: participants interpret waveforms and spectra and set alarm limits for machines
Day 3

Diagnosing Common Machinery Faults

  • Unbalance, misalignment, and looseness
  • Bent shafts and eccentricity
  • Natural frequencies, resonance, phase analysis, and impact testing
  • Run-up and coast-down analysis
  • Practical application: participants diagnose faults from real machine vibration data
Day 4

Bearings, Gears, Motors, and Machine-Specific Faults

  • Rolling element bearing defect frequencies and enveloping
  • Journal bearing instabilities and orbit analysis
  • Gear and belt faults
  • Electrical motor, pump, fan, and compressor faults
  • Practical application: participants diagnose bearing, gear, motor, and pump problems from case study data
Day 5

Reporting, Corrective Actions, and Program Management

  • Vibration reports and recommendations
  • Field balancing and precision alignment
  • Integration with oil analysis, thermography, ultrasound, and motor testing
  • Establishing and improving condition monitoring programs
  • Final workshop: participants analyze a complete machine train case study, prepare a vibration report, and present a program improvement plan

Upcoming Dates

Selected date

Munich · 8 – 12 Mar 2027 · Classroom

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CityDatesPrice per ParticipantEarly Bird
AmsterdamScheduled
2 – 6 Nov 2026€6,000—
BakuScheduled
9 – 13 Nov 2026€5,300—
BarcelonaScheduled
16 – 20 Nov 2026€6,000—
CairoScheduled
23 – 27 Nov 2026€3,800€3,420until 2 Nov
BerlinScheduled
23 – 27 Nov 2026€6,300€5,670until 2 Nov
CasablancaScheduled
30 Nov – 4 Dec 2026€4,700€4,230until 9 Nov
DammamScheduled
7 – 11 Dec 2026€4,800€4,320until 16 Nov
DohaScheduled
14 – 18 Dec 2026€4,700€4,230until 23 Nov
DubaiScheduled
20 – 24 Dec 2026€4,700€4,230until 30 Nov
FrankfurtScheduled
28 Dec 2026 – 1 Jan 2027€6,200€5,580until 7 Dec
GenevaScheduled
4 – 8 Jan 2027€7,300€6,570until 14 Dec
IstanbulScheduled
4 – 8 Jan 2027€5,300€4,770until 14 Dec
Kuala LumpurScheduled
11 – 15 Jan 2027€4,700€4,230until 21 Dec
LisbonScheduled
18 – 22 Jan 2027€6,000€5,400until 28 Dec
LondonScheduled
25 – 29 Jan 2027€5,800€5,220until 4 Jan
MadinahScheduled
1 – 5 Feb 2027€4,800€4,320until 11 Jan
MadridScheduled
8 – 12 Feb 2027€6,000€5,400until 18 Jan
MakkahScheduled
15 – 19 Feb 2027€4,800€4,320until 25 Jan
MarrakeshScheduled
22 – 26 Feb 2027€4,700€4,230until 1 Feb
ManamaScheduled
22 – 26 Feb 2027€5,300€4,770until 1 Feb
MilanScheduled
1 – 5 Mar 2027€7,000€6,300until 8 Feb
MunichScheduled
8 – 12 Mar 2027€6,000€5,400until 15 Feb
MuscatScheduled
15 – 19 Mar 2027€6,300€5,670until 22 Feb
OnlineScheduled
21 – 25 Mar 2027€2,700€2,430until 1 Mar
ParisScheduled
29 Mar – 2 Apr 2027€6,700€6,030until 8 Mar
RabatScheduled
5 – 9 Apr 2027€4,700€4,230until 15 Mar
RomeScheduled
12 – 16 Apr 2027€7,000€6,300until 22 Mar
RiyadhScheduled
12 – 16 Apr 2027€4,800€4,320until 22 Mar
ViennaScheduled
19 – 23 Apr 2027€6,400€5,760until 29 Mar
AmmanScheduled
25 – 29 Apr 2027€4,000€3,600until 5 Apr

Available in: Istanbul · Dubai · London · Riyadh · Doha · Amsterdam

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