Setting up a condition monitoring programme
ISO 17359 sets out the general flow for condition monitoring: audit the assets, select measurements, establish a baseline, set alert criteria, then diagnose, prognose and act. Most failed programmes skip the criticality audit and start at sensor selection.
| Topic | Key point |
|---|---|
| Start with criticality, not with sensors | The commonest way to waste a condition-monitoring budget is to begin at "which sensor should we buy". |
| The flow in practice | Step What you produce Failure if skipped Equipment and criticality audit Ranked asset list with consequence of failure Monitoring spread evenly across |
| Baselining is where programmes quietly fail | Trending is relative. Every alert rule compares a current reading with a reference, so the reference has to represent a healthy machine under a known operating condition. |
| Alert criteria need an owner before they need a threshold | Thresholds belong to the relevant standard and to your own baseline — ISO 20816 covers vibration severity evaluation, and the sensible route is to con |
| Competence and record-keeping | Two supporting standards carry more weight than their profile suggests. |
| The review loop | ISO 17359 treats condition monitoring as a cycle, not a project. |
| Standards referenced | Standard Scope ISO 17359 Condition monitoring and diagnostics of machines — general guidelines ISO 13379 Data interpretation and diagnostics technique |
Start with criticality, not with sensors
The commonest way to waste a condition-monitoring budget is to begin at "which sensor should we buy". ISO 17359, the general guideline for condition monitoring and diagnostics of machines, begins somewhere else: with an audit of the equipment and its failure modes, and a decision about which assets justify monitoring at all.
That ordering matters because the technique is determined by the failure mode. Choose the sensor first and you have committed to detecting whatever that sensor detects, which may not be what actually takes your plant down.
The flow in practice
| Step | What you produce | Failure if skipped |
|---|---|---|
| Equipment and criticality audit | Ranked asset list with consequence of failure | Monitoring spread evenly across assets that do not deserve it |
| Failure mode review | Dominant modes per critical asset | Technique cannot see the mode that actually fails |
| Measurement selection | Technique, measurement point, interval | Interval longer than the P-F window; findings arrive after failure |
| Baseline | Known-good reference per point | Existing degradation encoded as normal |
| Alert criteria | Thresholds and trend rules with an owner | Alarms nobody is accountable for |
| Diagnosis and prognosis | Fault identification and remaining-life estimate | Data with no interpretation |
| Action and review | Work order, then feedback on whether the call was right | The programme never improves its own accuracy |
Baselining is where programmes quietly fail
Trending is relative. Every alert rule compares a current reading with a reference, so the reference has to represent a healthy machine under a known operating condition.
Two traps recur:
- Baselining a degraded asset. Fitting monitoring to an old machine captures its current fault as "normal", and the programme then reports nothing until the fault worsens considerably.
- Baselining at one duty point. On variable-load equipment a single reference produces alarms whenever the process changes. Either baseline per operating state, or record operating context with every reading so the comparison is like-for-like.
Alert criteria need an owner before they need a threshold
Thresholds belong to the relevant standard and to your own baseline — ISO 20816 covers vibration severity evaluation, and the sensible route is to consult it rather than to copy figures from an article. What no standard can give you is the organisational half.
Before any threshold is set, three things must have names attached: who receives the alert, who decides severity, and who has authority to change the maintenance schedule as a result. A programme without those three produces reports rather than avoided failures — and it is the single most common reason condition monitoring is quietly abandoned two years in.
Competence and record-keeping
Two supporting standards carry more weight than their profile suggests.
ISO 18436 defines qualification and assessment requirements for condition-monitoring personnel, by technique and by category. Data collection can be routed to trained operators; severity calls need qualified interpretation, or the organisation stops trusting the output.
ISO 14224 gives a structure for collecting and exchanging reliability and maintenance data. It matters here because without consistent failure and intervention records you cannot answer the only question that keeps a programme funded: did the findings actually change outcomes?
The review loop
ISO 17359 treats condition monitoring as a cycle, not a project. The step most often dropped is the last one: comparing what the programme predicted with what was found when the machine was opened.
That feedback is what tunes thresholds, retires techniques that never catch anything on a given asset class, and builds the internal evidence that justifies extending the programme. Skip it and the programme's accuracy is frozen at whatever the initial settings happened to be.
Standards referenced
| Standard | Scope |
|---|---|
| ISO 17359 | Condition monitoring and diagnostics of machines — general guidelines |
| ISO 13379 | Data interpretation and diagnostics techniques |
| ISO 13374 | Data processing, communication and presentation |
| ISO 13381 | Prognostics |
| ISO 20816 | Vibration measurement and evaluation |
| ISO 18436 | Personnel qualification and assessment |
| ISO 14224 | Reliability and maintenance data collection |
| EN 13306 | Maintenance terminology |
Frequently asked questions
What does ISO 17359 cover?
It is the general guideline for condition monitoring and diagnostics of machines. It sets out the overall procedure — equipment and criticality audit, failure-mode review, measurement selection, baseline, alert criteria, diagnosis and prognosis, action and review — rather than technique-specific limits, which sit in the companion standards.
Where do I get vibration severity limits?
From ISO 20816, which covers measurement and evaluation of machine vibration, together with your own baseline for that specific machine and mounting. Severity classification depends on machine class and support conditions, so figures copied from a general article are not a substitute for the standard.
How many assets should a first programme cover?
Fewer than most plants start with. Cover the assets whose failure consequence actually justifies analyst attention, prove the loop from alert to rescheduled work, then extend. Instrumenting broadly before the action loop works produces data nobody uses.
Do we need certified analysts to start?
For interpretation and severity calls, in practice yes — ISO 18436 sets out the qualification categories by technique. Routine data collection can be done by trained operators, which is usually the cheaper and more sustainable split.
Why do condition monitoring programmes get abandoned?
Most often for organisational rather than technical reasons: alarms with no named owner, no authority to change the schedule off the back of a finding, and no review loop comparing predictions with what was actually found. The technology keeps working while the programme stops mattering.
Related guides
Types of predictive maintenance
Seven predictive-maintenance techniques, what physical fault each one actually detects, the assets they suit, the warning time they realistically give, and where each one is blind. Technique is chosen by failure mode, not by asset type.
Predictive maintenance: a practical guide
What predictive maintenance is, how it differs from preventive maintenance, which techniques fit which assets, and how to start without boiling the ocean.
Examples of predictive maintenance
Eight concrete cases — pump, motor, gearbox, fan, compressor, heat exchanger, steam trap and switchgear — each traced the same way: the failure mode, the technique that sees it, the signal that appears first, and the decision it should trigger.
Software that helps
Emerson AMS
Asset management and condition monitoring for process plants.
Augury
Machine health monitoring for rotating equipment using vibration and AI.
AVEVA Predictive Analytics
Early-warning analytics for critical process and power assets.