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MACHINE CONDITION MONITORING

Understand machine condition before planning the next intervention.

Bring vibration, temperature and operating data into a useful view of your equipment. Alvexis combines sensing, edge processing and integration to help your team investigate changing machine behaviour.

ForgePulse — Circuit board
ForgePulse circuit board — product photograph. Sensor selection and mounting depend on the machine.

Start with a machine and a maintenance decision.

The first question is what your team needs to learn: whether a vibration trend is changing, whether operating conditions explain an alert, or which machine needs inspection. We define a pilot around that decision, available access and representative operating data.

Measure the right signals

Select vibration, temperature and available operating signals for the machine. Define mounting, sampling and power or connectivity requirements before installation.

Analyse close to the machine

Capture timestamped measurements and compare behaviour under known operating conditions. Use local processing and logging where connectivity is limited or raw data is too large to transfer continuously.

Make the result useful

Present trends and agreed alerts to the maintenance team or an existing system. Record operating context and technician feedback so findings can be investigated.

Project scope

A monitoring system built around your equipment

Condition monitoring identifies changes in measured behaviour. Predicting a particular failure or remaining life requires suitable fault history and validation; a new sensor installation alone does not establish that capability.

  • Asset review and definition of the maintenance question and pilot acceptance criteria.
  • Sensor selection, mounting concept, sampling plan and suitable embedded hardware.
  • Local acquisition, time-stamped logging, signal analysis and communication integration.
  • Trend or alert presentation and data interfaces agreed with the maintenance team.
  • Pilot evaluation using operating history, inspection findings and recorded limitations.

From requirements to a working system

01

Choose the asset

Start with a motor, pump, fan or another rotating asset and a specific maintenance question.

02

Establish a baseline

Capture normal operating variation with the machine state, load or speed information that is available.

03

Evaluate the signals

Review trends and alerts against known events and technician observations. Adjust the approach where the evidence supports it.

04

Decide how to scale

Review data quality, alert usefulness, installation effort and integration needs before extending coverage.

Planning your project

Is condition monitoring the same as predictive maintenance?

No. Condition monitoring tracks measurements and changes over time. Predictive maintenance uses evidence and validated models to support a maintenance forecast. We start with reliable measurements and only make predictive claims that the available data can support.

Can this be added to existing machines?

A pilot can be designed around existing equipment where safe access, suitable mounting and useful signals are available. The installation and integration plan must account for the machine environment and operating procedures.

Can we use wireless vibration sensors?

Wireless sensing may suit assets where cabling is difficult. Sampling, transmission frequency, battery use, radio coverage and the environment must be considered together. ForgePulse can be evaluated as part of the sensing architecture.

How will we judge whether the pilot is useful?

Agree criteria before installation: measurement availability, repeatability, useful operating context, alert review workload and correlation with inspection findings. Downtime reduction or failure prediction must be demonstrated over an appropriate evaluation period.

ALVEXIS / FORGEPULSE

A motor pilot with a clear maintenance workflow

Mount at a repeatable location, establish a baseline under known load and speed, and record operating context with each measurement window. Agree who reviews a change and connect technician findings to the measurement history.

Read the motor monitoring guide ↗

Start with one motor. Define a measurable pilot.

Installation

Agree the asset, mounting point, sensor settings and operating conditions.

Measurement

Collect repeatable measurements and a normal-operation baseline; investigate changes in context.

Pilot review

Evaluate data quality, installation effort and usefulness to the maintenance team before defining the next scope.

A pilot evaluation does not itself establish validated failure prediction or a reduction in downtime.

Discuss a motor monitoring pilot ↗
Tell us what you are building

Tell us about your project.

A short technical brief is enough to start. Share the application, current development stage and the engineering support you need.

Prefer email? info@alvexis.ai

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