Product catalogue / Condition-based monitoring
Condition-Based Monitoring.
Data-driven predictive maintenance for modern manufacturing. Reduce unplanned downtime, improve equipment reliability, and increase production efficiency.
01 / Overview
Maintenance driven by real condition.
Condition-Based Monitoring (CBM) is an intelligent maintenance strategy that continuously monitors the health of industrial equipment using real-time operational data. Instead of servicing machines on fixed schedules or reacting after failures occur, CBM lets maintenance teams make informed decisions based on the actual condition of each asset.
ServvEdge's AI-powered CBM platform combines Industrial IoT, advanced analytics, machine learning, and intuitive dashboards to detect abnormal operating conditions early—so organisations can plan maintenance before failures impact production.
02 / Business challenges
The cost of reacting late.
Manufacturers consistently face the same pressures. CBM addresses each by monitoring equipment health continuously and providing early warnings before failures occur.
- Unplanned downtimeSudden stoppages that ripple across the line.
- High maintenance costOver-servicing and emergency repairs.
- Unexpected failuresBreakdowns with no early warning.
- Production lossesMissed output and delivery targets.
- Reduced availabilityAssets offline when you need them most.
- Quality & safety riskDefects and hazards from degrading equipment.
03 / Equipment supported
Built for the assets you rely on.
From rotating machinery to process lines, ServvEdge monitors the equipment that keeps production moving.
- Electric motors
- Pumps
- Compressors
- Fans
- Gearboxes
- Conveyors
- Blowers
- Stamping presses
- Textile machinery
- Feed processing equipment
- CNC machines
- Mixers
04 / Maintenance strategy
From reactive to predictive.
CBM sits at the mature end of the maintenance spectrum—optimising work against real asset condition rather than the clock.
| Strategy | Trigger | Limitation |
|---|---|---|
| Reactive | Failure occurs | Highest downtime |
| Preventive | Time schedule | Unnecessary maintenance |
| Condition-based ServvEdge | Asset condition | Optimised maintenance |
| Predictive ServvEdge | AI forecast | Highest maturity |
05 / How it works
From machine to decision.
A continuous signal path turns raw equipment behaviour into prioritised, actionable insight.
- 01MachineCritical production asset
- 02SensorsVibration, temperature, current & more
- 03Edge gateway / PLCAcquire and pre-process data
- 04Secure connectivityEncrypted outbound transfer
- 05Cloud platformCentral data foundation
- 06AI analyticsAnomaly detection & ML models
- 07Health scoreCondition index & remaining useful life
- 08AlertsIntelligent, prioritised notifications
- 09DashboardAct with clear evidence
06 / Sensor types
The signals that reveal machine health.
- Vibration
- Temperature
- Current
- Pressure
- Flow
- Acoustic
- RPM
- Oil condition
07 / Application capabilities
Analytics that see ahead.
- Trend analysisTrack condition over time.
- Statistical monitoringBaseline normal behaviour.
- Dynamic thresholdsAdapt to operating mode.
- Anomaly detectionFlag meaningful change early.
- Machine learningLearn each asset's signature.
- Remaining useful lifeForecast time to intervention.
- Health indexOne clear condition score.
- Intelligent alertsPrioritised, low-noise warnings.
08 / Business impact
Outcomes you can measure.
Typical results reported by manufacturers adopting condition-based monitoring.
09 / Industries
Proven across manufacturing.
- Automotive
- Textile
- Food & beverage
- Animal feed
- Cement
- Steel
- Chemical
- Pharmaceuticals
- Packaging
- General manufacturing
10 / Implementation roadmap
A practical path to rollout.
- 01Asset assessment
Identify critical assets and failure modes that matter.
- 02Sensor selection
Match the right sensing to each asset and signal.
- 03Installation
Mount sensors and connect edge gateways safely.
- 04Data collection
Establish baselines from live operating data.
- 05AI configuration
Tune models, thresholds, and health scoring.
- 06Dashboard deployment
Give teams a shared, real-time condition view.
- 07Pilot validation
Prove value on a focused asset set.
- 08Plant rollout
Scale across lines, sites, and use cases.
11 / Why ServvEdge
Intelligent maintenance, delivered.
- AI-powered analyticsModels built for industrial signals.
- Industrial IoT expertiseFrom sensor to dashboard, end to end.
- Scalable deploymentStart focused, expand with evidence.
- Cloud & on-premiseDeploy to fit your IT policy.
- ERP & CMMS integrationInsight lands in the systems you use.
- Measurable ROICustom dashboards focused on outcomes.
Empowering manufacturers
Begin with the assets that matter most.
Tell us where reliability, visibility, or performance is limiting your operation and we'll help define a focused first step with condition-based monitoring.