Vibration analysis

Name: Vibration analysis
Rating: 3.6 (63 reviews)

Dealing with Vibration analysis

Created byAhmad walied akhdairat

Last updated 1/2024

English

English [Auto],

What you'll learn

explain time wave form and FFT .
Determine forcing frequencies for pumps and motors
Identify F max and line of resolution
Explain how to determine F max and line of resolution
Integration and differentiation
fault diagnosis by spectrum

Course content

2 sections • 17 lectures • 2h 8m total length

Introduction13:11
Explore vibration analysis within predictive maintenance, focusing on condition monitoring and pH curve concepts to forecast failures and optimize maintenance planning.
Comparison between TWF & FFT and pump forcing frequencies11:13
Compare time waveform and spectrum to identify shaft speed, fan blade, and bearing forcing frequencies, and track cage and ball pass frequencies to diagnose bearing fault progression.
Integration and differentiation6:15
Explore vibration analysis through integration and differentiation, converting acceleration to velocity and displacement to reveal high- and low-frequency forcing in gears, bearings, and shafts.
Integration and differentiation 25:46
Learn how integration and differentiation affect vibration signals, using roll off and high pass filters to manage low frequency amplification, with analog and digital integration for velocity and displacement.
The digitization process5:05
Explore how the digitization process uses sampling rate and line of resolution to convert an analog vibration signal from an accelerometer into discrete time records and rebuild the time waveform.
The digitization process 24:10
Explore the relation between spectrum and time waveform in digitizing vibration signals, covering sampling rate, aliasing, leakage, resolution, and Nyquist theory.
The digitization process 33:47
Increase the sampling rate to 100 Hz to show that sampling must exceed twice the highest frequency of interest, per Nyquist theory, for accurate waveform reconstruction.
Windowing6:38
Apply windowing to mitigate leakage in fft by shaping the time record with zero ends, and adjust resolution using window factors like the hanning or hamming window.
Averaging5:02
Learn how averaging stabilizes vibration spectra by reducing noise in rotating machinery, using linear averaging and mean-square averaging, peak hold, and typical averages (4–10) to improve FFT accuracy.

Bearing Faults stages17:00
Explore the four bearing fault stages, from subsurface damage detectable by ultrasound enveloping above 20 kHz to outer race damage, with acceleration and velocity spectrum signatures.
Induction motor forcing frequencies5:46
Explore induction motor forcing frequencies, from line frequency to rotor bar pass and slip frequencies, and learn how synchronous speed and pole pass frequency influence rotor and stator vibration characteristics.
Example of induction motor frequencies13:17
Compute slip frequency from the difference between the line frequency and rotor speed, using the number of poles to determine synchronous speed and pole pass frequency.
phase data8:32
Master phase analysis in vibration data to diagnose misalignments, unbalanced shafts, eccentricity, and soft foot using absolute phase and two-channel accelerometer phase comparisons.
unbalancing6:52
Analyze unbalancing in vibration analysis by distinguishing static, dynamic, and couple imbalances through spectrum features like a single x peak, phase relations, and speed-proportional amplitudes.
misalignment6:43
Analyze misalignment in vibration readings using axial and radial phase data to distinguish it from imbalance, and identify parallel versus angular misalignment and harmonic signatures.
Eccentricity5:26
Identify eccentricity as the center of rotation offset from bearing or rotor. Sensor alignment along the belt shows peak radial vibration with 0 or 180-degree phase, unlike imbalance's 90-degree phase.
Bent shaft4:00
Diagnose bent shafts by analyzing axial and radial vibration patterns and phase relationships. Identify imbalance and misalignment through axial readings and end-to-end phase cues.

Requirements

diploma or bachelors of mechanical or electrical engineering

Description

Understand the maintenance strategies like reactive, preventive, proactive and predictive maintenance.

Trying changes the culture of using maintenance strategies based on the criticality and the cost of maintenance for all mechanical and electrical equipments like pumps, motors and more and more to ensure very good results

The binifets of using vibration Analysis to catch the Faults any stages of Faults.

Explain the relationship between Time wave form & FFT.

Explain the relationship between acceleration, velocity and displacement prope and the frequencies that can be catching by each one.

Explain the integration and differentiation to collect all desired by one reading.

Explain the most important topics that include and limited to averaging as linear,RMS and peak hold averaging then windowing for example hanning and hamming windowing.

Calculations of records time, resolution, number of samples and sampling frequency.

Studying the forcing frequencies for mechanical and electrical parts like impeller, shaft, non friction bearing and more.

Explain the four stages of anti-friction bearings Faults.

Diagnosing Faults that can be catching by vibration Analysis device like Misalignment, unbalance and bent shaft.

Many examples that help the students to have a good understanding of all vibration Analysis topics and then complete the picture for all of them.

Who this course is for:

predictive maintenance engineers
Reliability

Vibration analysis

What you'll learn

Explore related topics

Course content

Introduction9 lectures • 1hr 1min

Fault diagnosing8 lectures • 1hr 8min

Requirements

Description

Who this course is for: