From Mechanical Maintenance to Vibration Analysis - Part 2
In Part 1 - You Are Not Starting from Zero, we established that a mechanical maintenance professional is not starting from zero when moving into vibration analysis. Knowledge of machines, failure modes, operating conditions and maintenance history is already part of the diagnostic process.
Now we move to the central question: What should an analyst actually do when new vibration data arrives?
A reliable diagnosis does not begin with selecting a fault from a chart. It begins before the measurement is collected and continues after the maintenance work is completed.
The objective is not to find a pattern that looks familiar. The objective is to build enough reliable evidence to support the right maintenance decision.
The complete workflow at a glance
| Stage | Main question | Expected output |
|---|---|---|
| 1. Understand | What machine and operating state are we assessing? | Asset and operating context |
| 2. Plan | What measurements can reveal the expected failure modes? | Measurement strategy |
| 3. Collect | Was the data collected safely and repeatably? | Traceable measurements and field notes |
| 4. Validate | Is the change real, or could it be bad data? | Accepted or repeated measurement |
| 5. Analyse | What changed, where and at which frequencies? | Defined vibration symptoms |
| 6. Diagnose | Which causes fit all the available evidence? | Ranked fault hypotheses |
| 7. Decide | What action is justified, and how urgent is it? | Risk-based recommendation |
| 8. Verify | Did the action correct the condition? | Confirmed result and updated history |
Each stage protects the next one. Excellent analysis cannot rescue unreliable data, and a technically correct diagnosis has little value if the recommendation is unclear or arrives too late.
Stage 1: Understand the machine and its operating context
Before opening a spectrum, establish what you are looking at. Useful questions include:
- What is the asset ID, function and consequence of failure?
- Which driver and driven components form the machine train?
- What are the running speeds, gear ratios, blade or vane counts and bearing types?
- How are the components coupled and supported?
- Is the machine fixed-speed or variable-speed?
- What load, flow, pressure, temperature or production state is normal?
- What maintenance was recently performed?
- Which failure modes are credible for this design and service?
This information turns frequency peaks into mechanical possibilities. For example, a peak at 25 Hz has little meaning by itself. If the shaft is running at 1,500 rpm, 25 Hz is running speed, or 1X. If the machine is running at 750 rpm, that same peak is 2X. Context changes the interpretation.
Stage 2: Plan measurements around the machine
Do not collect every possible measurement without purpose. Select points, directions, transducers and acquisition settings that can reveal the expected behaviour of the asset.
A basic route on a horizontal motor-pump set often includes measurements near the bearings in horizontal, vertical and axial directions. However, the correct plan depends on the machine, bearing type, casing, speed, accessibility and suspected fault.
The plan should define:
- measurement-point names and exact physical locations;
- sensor type and mounting method;
- measurement direction;
- units and amplitude convention;
- frequency range, resolution and other acquisition settings;
- expected operating state; and
- required process values and field observations.
Route consistency matters because condition monitoring depends on comparing the present with the past. If the point, orientation, mounting or operating state changes, the vibration may change even when the machine condition has not.
Stage 3: Collect safe, repeatable data
Repeatability means reducing unnecessary differences between one measurement and the next. Use the same marked point, direction, sensor, mounting method and suitable operating condition whenever practical.
Before taking a reading:
- Follow site safety requirements and confirm that the measurement can be taken without exposure to rotating, hot, pressurized or energized hazards.
- Confirm the correct asset and measurement point.
- Check that the machine is running in the intended operating state.
- Inspect the sensor, cable, connector and mounting surface.
- Mount the sensor firmly and in the correct direction.
- Allow the signal to stabilize and check whether the reading appears reasonable.
- Record useful observations before leaving the machine.
Field observations can be diagnostically valuable. Note leaking seals, loose guards, damaged bases, unusual noise, product buildup, oil on the floor, recent maintenance and comments from operators. The person collecting data is not merely carrying an instrument; that person is also gathering context.
Stage 4: Validate the measurement before diagnosing the machine
When a value changes sharply, first ask whether the machine changed or the measurement changed.
| Possible data problem | Basic validation action |
|---|---|
| Loose, tilted or inconsistent sensor mounting | Remount at the marked point and repeat the reading. |
| Wrong point or direction | Check the route definition, point label and orientation. |
| Different speed or load | Record the state and compare with data from a similar condition. |
| Damaged cable or poor connector | Inspect the setup and compare with a known-good sensor or cable where permitted. |
| Incorrect acquisition setup | Confirm units, frequency range, resolution and sensor configuration. |
| Transient process event | Check process trends and repeat under a stable condition if appropriate. |
A repeated high reading does not prove a specific fault, but it gives more confidence that the condition is real.
Stage 5: Analyse the evidence in a logical order
Many analysts begin with the alarm list or exception report, but an alarm is a screening device, not a diagnosis. Analyse the alerted point in context.
1. Review the trend
Determine when the change began, how quickly it developed and whether it correlates with maintenance or operating changes. A gradual rise over months suggests a different investigation from a step change immediately after overhaul.
2. Compare related points and directions
Identify where vibration is strongest and how it travels through the machine. Compare driver and driven components, inboard and outboard bearings, and radial and axial directions. Spatial distribution is part of the fault pattern.
3. Review the spectrum
Identify the dominant frequencies and relate them to running speed, harmonics and known machine components. Look for changes in amplitude, new peaks, sidebands, broadband energy and high-frequency content.
4. Review the time waveform where useful
The waveform can reveal impacts, modulation, clipping, looseness and non-steady behaviour that may not be obvious from the spectrum alone.
5. Use additional plots and techniques when justified
Phase, enveloping or demodulation, orbits, shaft centerline, run-up or coast-down data and other techniques can help answer specific questions. Use them because the investigation requires them, not simply because the software offers them.
Overall vibration tells you that energy changed. Frequency, time, phase, location and operating context help explain why.
Stage 6: Build and test fault hypotheses
A diagnosis is stronger when the analyst considers competing explanations. Instead of saying, "There is a 1X peak, therefore the rotor is unbalanced," write a short hypothesis table.
| Possible cause | Evidence that would support it | Useful confirmation |
|---|---|---|
| Mass unbalance | Dominant 1X response, commonly strongest radially, with behaviour consistent with the rotor and support. | Phase and spatial pattern; inspect for buildup, damage or missing material. |
| Misalignment | Vibration pattern across the coupling, often with axial and harmonic content depending on the case. | Phase relationship, coupling inspection and alignment check. |
| Mechanical looseness | Harmonics, nonlinearity, impacts or localized response consistent with a loose interface. | Inspect hold-down bolts, base, bearing fits, guards and structural joints. |
| Hydraulic excitation | Vibration changes with flow or pressure and may include vane-related or broadband components. | Compare process state, listen for cavitation and review pump operation. |
No single row is a universal rule. Machine construction and operating behaviour can alter the pattern. The purpose of the table is to make your reasoning visible and testable.
Stage 7: Convert analysis into a maintenance decision
A useful report answers five questions:
- Where? Identify the asset and measurement location.
- What changed? Describe the trend and relevant vibration symptoms.
- What is the probable condition? State the diagnosis with an appropriate confidence level.
- What should be done? Recommend inspection, further testing, monitoring or corrective work.
- When? State urgency based on trend, severity, failure consequence and local criteria.
Avoid vague reports such as "high vibration - check machine." A stronger report might say:
Pump P-204 drive-end horizontal velocity increased from 2.1 to 5.8 mm/s RMS over three weekly measurements under comparable speed and load. The spectrum is dominated by 1X running speed, with the highest response on the pump. The pattern is consistent with probable impeller unbalance. Inspect the impeller for buildup or damage and check base tightness during the next planned opportunity. Continue weekly monitoring and escalate sooner if the trend accelerates or operating behaviour changes.
The severity and timing in a real report must follow the organization's approved alarm philosophy, applicable guidance, machine history, operating risk and engineering judgement. A numerical value should not be copied into a universal action rule without context.
Stage 8: Verify the result and preserve the lesson
After maintenance, collect data under a comparable operating condition. Compare before and after values, spectra, waveforms and process conditions. Record what the maintenance team found and what action was actually performed.
If the vibration falls and the suspected defect is physically confirmed, confidence in the diagnosis increases. If the vibration remains high, do not hide the result. Reassess the hypothesis, measurement and repair quality.
Verification converts an isolated diagnosis into organizational knowledge. It improves future alarm decisions, reports, fault recognition and maintenance planning.
Practical case: a pump with rising 1X vibration
Consider a simplified training example involving a motor-driven centrifugal pump operating at approximately 1,480 rpm, or 24.7 Hz.
- Understand: The pump normally operates at stable speed and similar flow. The impeller handles a product that can accumulate deposits.
- Collect: Weekly readings are taken at marked bearing locations using the same sensor and mounting method. Speed, flow and pressure are recorded.
- Detect: Pump drive-end horizontal velocity rises from 2.1 to 5.8 mm/s RMS over three comparable measurements.
- Validate: The analyst remounts the sensor, repeats the measurement and checks the nearby points. The increase remains.
- Analyse: The spectrum is dominated by 24.7 Hz, matching running speed. The response is strongest radially on the pump. The time waveform is mainly periodic, and bearing-condition indicators have not changed significantly.
- Hypothesize: Impeller unbalance is considered probable, but looseness, support problems and hydraulic effects are also reviewed.
- Confirm: Hold-down bolts and the base show no obvious looseness. Process conditions are stable. The team plans an impeller inspection.
- Act: Deposits are found and removed from the impeller. Its condition is checked before the pump is returned to service.
- Verify: Under a comparable operating condition, vibration falls to 2.2 mm/s RMS and the 1X component reduces substantially.
The lesson is not that every 1X peak means impeller buildup. The lesson is that a diagnosis becomes credible when measurement quality, machine context, pattern, inspection and post-maintenance response agree.
A field checklist for new analysts
- Correct asset and point confirmed
- Safe access and site requirements satisfied
- Speed and operating state recorded
- Sensor, mounting and direction verified
- Measurement repeated if the result is unusual
- Field observations and recent work recorded
- Trend reviewed before isolated plots
- Related points and directions compared
- More than one possible cause considered
- Recommendation states action and urgency
- Post-maintenance verification requested
Final takeaway
Vibration analysis is not a contest to name a fault quickly. It is a disciplined process for reducing uncertainty.
Understand the machine. Plan the measurement. Collect repeatable data. Validate the result. Define the symptoms. Test competing explanations. Communicate the decision clearly. Then verify what happened.
When these steps become habitual, software changes from a collection of plots into a tool for making better maintenance decisions.
Coming in Part 3
Part 3: Displacement, Velocity and Acceleration - What Each Measurement Tells You. We will explain the three common vibration quantities, their units, where each is useful and why selecting the wrong measurement can hide an important machine condition.
Discussion question: Which step of the workflow is most often missed in your workplace - measurement validation, diagnosis confirmation, clear reporting or post-maintenance verification?
References and further learning
- Mobius Institute, Vibration Analysis Category I training material, especially Chapter 4 topics on data acquisition, repeatability, field observations, routes and the start of the analysis process.
- Emerson Process Management, Basic Vibration Analysis - Course 2031, especially the introduction to vibration, measurement parameters, spectra and monitoring fundamentals.
- Vibration Analysis Guide, especially the beginner sections on amplitude, frequency, waveforms and spectra.
- Mobius Institute, Vibration Analysis Faults booklet, used as a fault-pattern reference.
Educational note: The numerical values and pump case in this article are simplified examples, not universal alarm limits. Apply site procedures, approved alarm criteria, equipment-manufacturer guidance and qualified engineering judgement to real machinery.

