GoSense MachineGuard

Condition trends for the machines that keep work moving.

Structure runtime, temperature, and vibration evidence around motors, pumps, compressors, generators, and other rotating equipment.

Trend and anomaly monitoring is designed to support earlier inspection. It is not a guaranteed failure prediction.

GoSense360 sensor enclosure on an industrial motor coupled to a pump
Illustrative image
Asset-specificMachine, duty, speed, load, mounting, and failure modes matter.
Trend-ledReview change over time rather than a single isolated value.
Human-acceptedInspection and maintenance authority stays with the responsible team.

Three monitoring levels

Match the signal path to the decision.

The levels are technically distinct. High-frequency analysis is not presented as a default feature of basic sensing.

LevelTypical signalsUseBoundary
Basic condition monitoringRuntime, selected temperature, overall low-rate vibration where suitableOperating visibility and trend reviewFinal sensor and sampling depend on the asset and installation
Industrial 4–20mA sensingApproved industrial transmitters and process inputsRobust signal integration over suitable industrial wiringRequires signal, power, isolation, scaling, enclosure, and safety design
High-frequency vibration / FFT pilotHigher-rate waveform acquisition and frequency-domain analysisBounded diagnostic or anomaly studyPilot only: asset classes, mounting, sampling, labels, baseline, and acceptance criteria must be validated

Asset coverage

Start with critical equipment and known questions.

A useful condition-monitoring scope begins with the asset, operating regime, current maintenance practice, and decision the team is prepared to make.

  • Motors and driven equipment
  • Pumps and compressors
  • Generators and rotating auxiliaries
  • Fans, gearboxes, and selected production assets
  • Runtime and maintenance history where available

Inspection workflow

Turn change into a traceable review.

Thresholds, recipients, escalation, and maintenance integration are defined with the site team.

Baseline

Observe representative operating conditions.

Trend

Track approved condition signals over time.

Context

Relate load, runtime, and service activity.

Highlight

Show configured deviation or anomaly.

Inspect

Use qualified human inspection.

Learn

Record findings for the next review.

FAQ

Common questions.

Does MachineGuard predict failures?

Not as a general promise. It shows condition trends so teams can inspect earlier. A predictive-maintenance pilot needs suitable history, validated sensing and an agreed way to evaluate it.

Which monitoring level should we start with?

Most sites start with basic condition monitoring on a few critical assets, then decide from the trends whether industrial sensing or a vibration pilot is justified.

Which equipment is a good fit?

Motors, pumps, compressors, fans, gearboxes and generators where a change in temperature, runtime or vibration would lead to an inspection decision.

Who decides what to do about an anomaly?

Your maintenance team. An anomaly is a prompt to inspect, not a confirmed diagnosis.

MachineGuard discovery

Choose the assets, signals, and inspection decisions worth connecting.

Discuss condition monitoring