Onderwijs1 min leestijd
Wat is voorspellend onderhoud? Hoe IIoT en industriële pc's ongeplande stilstand uitbannen
TSL Automation Solutions 5 augustus 2025 Bijgewerkt 18 mei 2026
Delen
Inhoudsopgave
Reactive vs Preventive vs Predictive Maintenance
| Strategy | When You Act | Risk | Cost |
|---|---|---|---|
| Reactive (breakdown) | After failure | Unplanned downtime, secondary damage | Highest |
| Preventive (time-based) | On schedule (e.g. monthly) | May replace good parts | Medium |
| Predictive | When condition warrants it | Lowest downtime risk | Lowest long-term |
How Predictive Maintenance Works
- Sensor installation, vibration, temperature, current, acoustic sensors fitted to motors, pumps, compressors, and bearings
- Data collection, IIoT edge gateway (industrial PC) continuously collects sensor data
- Baseline establishment, normal operating signatures are recorded for each machine
- Anomaly detection, AI or statistical models flag deviations from baseline (e.g. bearing frequency shift indicating wear)
- Alert and action, maintenance team receives alert with predicted remaining useful life, schedules intervention before failure
Typical Sensors Used
- Vibration (accelerometer), most sensitive early indicator of bearing wear, imbalance, misalignment
- Temperature (RTD/thermocouple), motor winding temperature, bearing housing temperature
- Current signature analysis, motor current waveform analysis detects rotor bar damage and load variations
- Acoustic emission, very early-stage bearing and gear defect detection
Avalue industrial PCs running on the factory floor are the ideal edge compute platform for predictive maintenance data collection and analysis. Contact TSL Automation Solutions to discuss a PdM hardware solution for your plant.
Veelgestelde vragen
Predictive maintenance (PdM) is a maintenance strategy that uses real-time condition monitoring data, vibration, temperature, current, oil analysis, and data analytics or machine learning models to predict when a specific component will fail, allowing maintenance to be scheduled just before failure occurs. This minimises unplanned downtime, extends component life beyond conservative preventive schedules, and reduces maintenance costs compared to both reactive and preventive maintenance.
Predictive maintenance technologies include: vibration analysis (accelerometers measure bearing and gear health), thermal imaging (IR cameras detect hotspots in motors, electrical panels), oil analysis (particle counting, viscosity measurement for hydraulic and lubrication systems), motor current signature analysis (detecting rotor faults without sensors on the motor), acoustic emission (ultrasonic sensors detect early bearing defects), and machine learning models trained on historical sensor data to predict remaining useful life.
Well-implemented predictive maintenance typically achieves: 25 tot 30% reduction in maintenance costs (by eliminating unnecessary preventive replacements), 70 tot 75% reduction in equipment breakdowns (by catching faults early), 35 tot 45% reduction in downtime, and 25% reduction in spare parts inventory (from better planning). On a ₹100 crore production line with 5% downtime, reducing unplanned stops by 50% recovers ₹2.5 crore in production annually.
Predictive maintenance requires: sensors (vibration, temperature, current) at each monitored machine, edge computing nodes (industrial PCs or IoT gateways) for data collection and local signal processing, condition monitoring software or ML inference engines (running locally or on cloud), and SCADA or dashboard software for alert visualisation and maintenance workflow integration.
TSL Automation Solutions supplies Avalue industrial PCs and IoT gateway hardware suitable for vibration and sensor data collection in predictive maintenance applications. We can recommend configurations for OPC UA connectivity, local data processing, and cloud integration. Contact our Mumbai team to discuss your predictive maintenance hardware requirements.
Tags: what is predictive maintenance predictive maintenance India IIoT predictive maintenance machine health monitoring vibration analysis industrial PC PdM manufacturing India
Was dit nuttig? Deel het
T
TSL Automation Solutions
Hoofd Marketing, TSL Automation Solutions
Sanjana schrijft over trends in industriële automatisering, productlanceringen en technologische inzichten voor TSL Automation Solutions, een in Mumbai gevestigde distributeur van HMI, panel-pc en embedded computersystemen voor fabrikanten in India en wereldwijd.
Hulp nodig bij het kiezen van het juiste product?
Ons team in Mumbai adviseert u over de juiste HMI, panel-pc of het juiste embedded systeem voor uw toepassing.
Neem contact op met TSL Automation
