Product in development

A maintenance view built around each machine’s normal

MechSignal is designed to bring equipment readings, flags and inspection outcomes into one place, so maintenance teams can see what’s changing and decide what to check first.

Planned capabilities

Six capabilities, one workflow

Each capability is in development and will be refined with pilot partners. Nothing here describes a released, validated product.

Equipment health overview

A list of monitored assets grouped by site, line or area, each with a plain-language status: within baseline, watch, review suggested, or baseline building when there isn’t yet enough data to judge.

  • Filter by line, asset type or criticality set by your team
  • Status uses text and shape as well as colour
  • Shows data freshness, so gaps in incoming readings are visible

Sensor trend analysis

Trend charts for the signals your equipment provides — such as vibration velocity, bearing or housing temperature, pressure and motor current — drawn against the machine’s own learned baseline range.

  • Compare time windows and operating modes
  • Overlay maintenance events on the trend
  • Clear units and axis labels on every chart

Anomaly detection

Models that identify readings deviating from learned operating behaviour. Each flag links to the readings that triggered it so a person can judge whether it matters.

A flag means “this looks different from usual” — it is not a diagnosis, and it does not predict when or whether a machine will fail. Detection quality depends on the data available and must be validated for each machine type.

Maintenance prioritisation

A ranked list of suggested inspections that weighs how far readings have moved from baseline, how long the deviation has lasted, the criticality your team assigns to each asset, and recent maintenance history.

  • Ranking logic is shown, not hidden
  • Planners can reorder, defer or dismiss suggestions

Technician feedback

After an inspection, technicians record the outcome — issue confirmed, no issue found, or needs more data — with notes and photos. That record stays with the asset.

Feedback is used to review how flags are raised for each machine, so the system can be tuned to what your team actually finds in the field.

Asset history & reporting

A per-machine timeline of readings, flags, inspections and outcomes, plus summary reports for maintenance reviews and shift handovers.

  • Export to CSV and PDF
  • Planned connections to existing work-order systems, to be scoped with pilot partners
How it works

From connected data to a reviewed inspection

  1. Connect compatible equipment data

    Connect existing historians, PLCs or gateways, or add sensors where none exist. Import maintenance records where available.

  2. Establish operating baselines

    Use a period of operating history to learn typical behaviour per machine and operating mode. Assets show “baseline building” until this is ready.

  3. Flag deviations

    Compare new readings to the baseline. Sustained or significant deviations are flagged and ranked for review.

  4. Support technician inspection

    Flags become inspection tasks. Technicians record findings, which feed back into how flags are tuned.

Planned AWS architecture

How data is planned to flow

This is the planned design, not a deployed system. Services and data flow may change as development continues and as pilot requirements become clear.

On site

Equipment & sensors

Existing sensors, PLCs, historians or new sensors, via an edge gateway.

AWS IoT SiteWise

Industrial data

Collects equipment data and organises it into asset models (site, line, machine, signal).

Amazon S3

Historical storage

Holds longer-term readings and maintenance records used for baselines, training and reports.

Amazon SageMaker AI

Anomaly detection

Trains, evaluates and runs per-asset anomaly models; results are written back for review.

Amazon SNS

Notifications

Sends flag notifications by email, SMS or integrations to subscribed maintenance contacts.

Separation from control

The design reads data only. MechSignal is not planned to write to PLCs or control equipment.

Your data, your account

Deployment options, data residency and access controls will be agreed with each pilot partner. [Data handling policy — to be published]

Security review

Network access, gateway configuration and permissions will be reviewed with your IT/OT teams before any connection is made.

Deployment requirements

What has to be true for MechSignal to be useful

Monitoring is only as good as the data behind it. We’ll assess these together before agreeing to a pilot.

1. Suitable sensors or data connections

The machines in scope need relevant measurements available — for example vibration, temperature, pressure, flow or motor current — through one of:

  • an existing historian or SCADA system
  • PLC data accessible through a supported gateway or protocol (e.g. OPC UA, Modbus)
  • new retrofit sensors, where existing data isn’t sufficient

If a machine has no relevant signals, MechSignal can’t monitor it.

2. Enough operating history

Baselines need representative data covering the machine’s usual loads and operating modes. How much is needed depends on the equipment and how variable its duty cycle is. Until a baseline is ready, the asset is shown as “baseline building”.

3. Validation on the relevant machines

Model performance has to be validated for the specific machines and operating conditions in scope. During a pilot, flags are compared against technician findings to measure how useful they are — including missed issues and false alarms — before anyone relies on them.

We don’t publish generic accuracy or downtime figures, because they wouldn’t reflect your equipment.

4. Maintenance team involvement

Technicians and planners need time to review flags and record outcomes. That feedback is how the system is checked and improved, so a named maintenance contact is part of every pilot.

Not a safety system. MechSignal is a decision-support tool for maintenance planning. It does not replace machine guarding, protective relays, emergency stops, trip systems, condition-based shutdowns or any other safety function, nor routine inspections required by manufacturers or regulation. It cannot guarantee that a fault will be detected.

Check whether your equipment is a fit

Tell us about your machines and data sources. We’ll give you a straight answer on whether a pilot makes sense.