Vibration monitoring × Edge AI computing × Predictive maintenance

Hear from your equipment before it fails

Vibration sensing and Edge AI analyse machine condition right at the equipment — moving you from fixing breakdowns to fixing what needs fixing.

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The cost of downtime

Unplanned downtime costs far more than the part

Stopped lines

One critical machine failure can halt an entire line while it waits for repair.

Missed deliveries

Lost production time squeezes schedules and customer trust.

Secondary damage

Small faults left alone often grow into bigger, costlier failures.

Maintenance strategies

From run-to-failure to condition-based

Reactive

Fix it when it breaks

  • No monitoring investment
  • Machine already stopped
  • Risk of secondary damage
Preventive

Replace on schedule

  • Fewer sudden failures
  • Good parts replaced early
  • Gaps between service intervals
Predictive

Maintain by condition

  • Continuous monitoring
  • Act when anomalies appear
  • Less downtime and over-maintenance

Vibration is the earliest warning sign

A healthy machine has a stable vibration signature. When parts wear, loosen or shift, vibration usually changes before temperature rises or the machine stops.

Continuous monitoring and spectrum analysis reveal problems before they grow, so maintenance can be scheduled at the right time.

Detectable faults

Common rotating-equipment faults show up in the spectrum

Unbalance

Uneven mass distribution in fans, turntables and rotors.

Misalignment

Couplings or shafts out of line, adding load and wear.

Mechanical looseness

Loose base bolts, bearing housings or structures.

Bearing damage

Worn races or rolling elements — the most common fault source.

Gear faults

Tooth wear, broken teeth or poor meshing.

Resonance

Running speed near a natural frequency amplifies vibration.

Architecture

Four layers from sensor to dashboard

  1. 1

    Sensing

    Vibration sensors

    Accelerometers capture real vibration at key machine points.

  2. 2

    Edge AI computing

    On-device analysis

    Spectrum analysis runs locally — no need to stream raw data to the cloud.

  3. 3

    Diagnosis

    Anomaly detection

    Thresholds and models evaluate condition and trends.

  4. 4

    Dashboard & alerts

    Maintenance decisions

    Instant alarms and trends, with FDC / MES integration.

Why analyse at the edge

Four benefits of Edge AI computing

Instant response

Analysis at the machine means alarms the moment something changes.

Less network load

Send results, not large volumes of raw vibration data.

Scalable deployment

Add monitoring points machine by machine.

Data stays on site

Vibration data never has to leave your plant.

ASUS IoT partner solutions

Paired with ASUS AI vibration analytics

As an official ASUS IoT partner, INIKI provides software deployment, sensor installation and system integration.

ASUS partner

ASUS AISPHM

Vibration analysis and predictive maintenance software that tracks equipment health and degradation.

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ASUS partner

ASUS AISDetector

Signal anomaly detection software that flags patterns different from normal operation.

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ASUS partner

ASUS AISSENS 100AW

Industrial wireless vibration sensor for fast, cable-free deployment.

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Suitable equipment

Which machines benefit?

Motors & spindles

Pumps & compressors

Robot arms & conveyors

Semiconductor handlers

Deployment

Four steps to go live

  1. 1

    Site assessment

    Understand equipment, failure history and goals.

  2. 2

    Sensor planning

    Choose sensors and locations, wired or wireless.

  3. 3

    Install & baseline

    Install and collect normal-operation data as a baseline.

  4. 4

    Monitor & optimise

    Go live with alerts and tune using real data.

Related

Related products and technology

Vibration products

Wired, wireless and multi-channel sensors.

Edge AI Computing

AI vision, safety alerts and vibration AI.

Case studies

Vibration case studies

All case studies
Handler Vibration Measurement System
Vibration Measurement

Handler Vibration Measurement System

Lightweight accelerometers with multi-channel acquisition convert vibration to velocity and voltage output, keeping plant equipment condition visible.

Wireless Vibration Transmitter
Vibration Measurement

Wireless Vibration Transmitter

Vibration data sent over a 2.4 GHz RF link with about 90 days of battery life, so machine condition is always visible.

HMI Equipment Monitoring System
Equipment Monitoring

HMI Equipment Monitoring System

Wireless relays capture equipment power signals and show up to 32 machines on one HMI, with instant alarms on abnormal status.

More solutions

Get a free equipment health assessment

Tell us about your machines and our engineers will plan the right vibration monitoring setup.

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