Manufacturing Operations

A Predictive Maintenance Pilot: What to Prepare and What to Check

A useful pilot ends with a finding the maintenance team can examine. Start with a specific question and prepare the records needed to answer it.

Orenda Predictive Maintenance case history with demo machine records

A maintenance pilot needs a question that the team already recognizes. “Why has this bearing temperature changed during the same product run?” is a useful starting point. It identifies a machine, a measurement, and a comparison.

The pilot should make the next maintenance decision easier to review. Define that decision before selecting signals or uploading documents.

1. Choose one machine and one question

Name the machine and the person who will review the result. Record the recurring symptom and the operating period you want to examine.

Keep the first question narrow. A change in one machine is easier to investigate than a request to explain every loss across the factory.

2. Check what each signal means

For each selected signal, record the unit, source, reading interval, and machine state. Check whether a recent sensor or scaling change affects the values.

Compare a current reading with the local display. Identify gaps in the historical record. A value that stopped updating must not look like a stable machine.

Use the PLC data collection checklist to prepare the first tag list.

3. Select comparable operating periods

Compare the same product or recipe where possible. Check load, speed, and operating state. Record changeovers and maintenance interventions.

A heavier product may increase current during normal operation. Mixing that run with a lighter product can hide the meaning of the change.

Keep a stable comparison machine or period when one is available. Use it to test whether the review distinguishes an unusual change from normal variation.

4. Add service records and the correct manual

Prepare the retained repair history, inspection notes, and relevant manual edition. Link each document to the correct machine.

Record the date of a replacement or calibration. Measurements before and after that event may belong to different comparison periods.

In Orenda, original documents are prepared and indexed on the Box. Hosted analysis can use selected authorized excerpts and measurements. Confirm the permitted sources before starting the investigation.

5. Agree what the team will review

Use this acceptance table during the pilot. It is a review aid, not a claimed customer result.

CheckEvidence to retain
The machine and period are correctSelected scope and operating context
The measurement has a clear meaningUnit, source, timestamp, and data gaps
The finding can be inspectedLinked record or document passage
The next check is practicalReviewed task and responsible person
The follow-up is recordedTechnician observation and later comparison

A useful finding may identify missing information. Record the next data or inspection task instead of treating an incomplete result as a completed diagnosis.

6. Follow the case after the first report

Review the proposed check with the maintenance team. Use the installed maintenance workflow to record the agreed work. After completion, examine a suitable operating period.

Keep the earlier finding, the work record, and the later result together. This gives the next engineer a clear starting point.

The Orenda Predictive Maintenance demo shows the workspace with demo data. Use it to discuss the workflow. Validate the result separately on your machine and records.

What to bring to the first discussion

Bring the machine identifier, a signal list, a recurring question, and a known production period. Add the manual and the service records you have.

Agree the pilot scope through the Predictive Maintenance solution. Use maintenance management for schedules, work orders, and the completed work.

Frequently asked questions

How much history does the pilot need?

There is no single minimum that fits every machine. Select enough comparable operating periods to answer the chosen question. Identify gaps, changes in sensor setup, and repairs before interpreting the comparison.

What should count as a useful pilot result?

The team should be able to open the evidence, understand the finding, and choose a practical next check. Record missing information and the follow-up result. A software demonstration alone does not validate failure-prediction accuracy.

Sources and further reading

  1. Maintenance management — Orenda
  2. PLC data collection — Orenda

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