At the end of the training course, participants will be able to

• participants should learn how to select appropriate sensors and techniques for diagnosing typical machinery malfunctions.
• Participants will be learned to read vibration signatures and evaluate machinery condition from vibration data.
• Participants will understand how to isolate the affected machinery components, recognize various common problems, and make recommendations for continues efficient operation or scheduled repairs. 

Who is this course for, and can benefit the most

• Automotive Engineer
• Boiler Engineer
• Ceramics Engineer
• Equipment Engineer
• High-Pressure Engineer
• Marine Engineer
• Mechanical Design Engineer
• Mechanical Engineer
• Naval Architect
• Pipeline Engineer
• Power Engineer
• Rotating Equipment Engineer
• Senior Mechanical Engineer
• Turbine Engineer
• Validation Engineer

Day 1

Module (01)condition monitoring introduction

• 1.1 maintenance strategy and types
• 1.2 source of vibration
• 1.3 infra thermography technique overview
• 1.4 oil analysis technique overview 

Day 2

Module (02) principles of vibration analysis

• 2.1 vibration amplitude
• 2.1.1 vibration displacement
• 2.1.2 vibration velocity
• 2.1.3 vibration acceleration
• 2.2 data acquisition technique
• 2.3 measurement point’s identification
• 2.4 phase concept and measurement

Module (03) vibration measurement sensors

• 3.1 proximity report theory and operation
• 3.2 velocity transducer theory and operation
• 3.3 accelerometer theory and operation
• 3.4 sensor selection criteria
• 3.5 sensors fixation methods and effect 

Day 3

Module (04) vibration analysis fundamentals

• 4.1 converting from time wave form spectrum.
• 4.2 free vibration concept
• 4.3 forced vibration
• 4.4 resonance phenomena identification and problem solving
• 4.5 critical speed identification
• 4.6 non, sub and synchronous frequencies

Module (05) Rotor unbalance fault detection and solving

• 5.1 unbalance defect reasons
• 5.2 unbalance detection using vibration analysis
• 5.2.1 Detection using spectrum and timewaveform
• 5.2.2 Detection using phase analysis
• 5.2.3 Detection using orbit analysis
• 5.3 unbalance correction method
• 5.4 unbalance impact on machinery health 

Day 4

Module (06) misalignment defect detection and solving

• 6.1 misalignment sources
• 6.2 misalignment detection using vibration analysis
• 6.2.1 Detection using spectrum analysis
• 6.2.2 Detection using timewave form analysis
• 6.2.3 Detection using phase analysis
• 6.2.4 Detection using orbit analysis
• 6.3 misalignment solving problem
• 6.4 alignment using dial gages
• 6.5 alignment using laser alignment devise
• 6.6 belt alignment

Module (07) bearing defects detection and solving

• 7.1 bearing failure sources
• 7.2 bearings failure stages
• 7.3 bearing failure detection
• 7.4 bearing failure effect on machinery health
• 7.5 proper bearings installation methods 

Day 5

Module (08) other common machinery defects

• 8.1 rotor eccentricity detection
• 8.2 belt defects detection
• 8.3 bent shaft detection
• 8.4 looseness defect detection
• 8.4.1 Internal looseness
• 8.4.2 External looseness