Solution

Industrial Equipment & Manufacturing Monitoring

UW-DAS acoustic sensing and UW-FBG temperature/strain monitoring for industrial machinery, conveyor systems, and manufacturing facilities.

Industry Challenge

Industrial manufacturing environments demand maximum equipment uptime, yet rotating machinery, conveyors, and production lines are subject to continuous wear, bearing degradation, misalignment, and thermal stress. Unplanned downtime in a single production line can cost tens of thousands of dollars per hour in lost output. Traditional vibration monitoring and thermal imaging provide partial coverage but miss the early, subtle signatures of developing faults.

Modern smart factories need a sensing approach that provides comprehensive, continuous health monitoring across all critical equipment — from motor bearings to conveyor belts to structural supports — without interfering with production processes. Fiber optic sensing offers a unique advantage: passive sensors immune to electromagnetic interference, capable of distributed acoustic and thermal monitoring from a single interrogation unit located in a control room far from the noisy factory floor.

Monitoring Objectives

Target measurement parameters, performance specifications, and sensing methods for industrial equipment monitoring.

Parameter Target Specification Method
Bearing / Rotor Condition Early fault detection via acoustic signature analysis uwDAS high-frequency acoustic sensing
Machine Vibration 0.1–10 kHz vibration monitoring on rotating equipment uwDAS distributed vibration sensing
Temperature Profile Motor, bearing, and process temperature ±0.5°C UW-FBG temperature sensing array
Conveyor Belt Strain Continuous belt tension monitoring UW-FBG strain sensing cable
Structural Fatigue Frame and support structure strain cycles UW-FBG strain gauges
Process Anomaly Detection Real-time identification of abnormal acoustic/thermal patterns uwDAS + machine learning classification

System Architecture

The industrial monitoring system deploys uwDAS fiber attached to machinery frames, bearing housings, and conveyor structures for continuous acoustic and vibration sensing. UW-FBG temperature arrays monitor motor windings, bearing housings, and critical process thermal zones. UW-FBG strain cables track conveyor belt tension and structural fatigue. An RS-DAS/HFBGA interrogator in the plant control room collects all sensing data. The Ray-Sensor platform applies machine learning models to classify acoustic signatures, detect anomalies, and trigger predictive maintenance alerts, integrating with plant SCADA and CMMS systems for automated workflow initiation.

Industrial Equipment & Manufacturing Monitoring System Architecture

Typical Deployment

Field deployment steps for a complete industrial Equipment & Manufacturing Monitoring system.

  1. uwDAS sensing fiber bonded to bearing housings and motor frame surfaces
  2. UW-FBG temperature arrays embedded in motor windings and bearing pockets
  3. UW-FBG strain sensing cables along conveyor belt support structures
  4. uwDAS fiber around process vessels and pipelines for acoustic anomaly detection
  5. RS-DAS/HFBGA interrogator in plant control room (fiber runs up to 10 km from sensors)
  6. Ray-Sensor platform with ML-based acoustic classification and alert system

Customer Value

Key benefits delivered by Ray-Sensor's industrial Equipment & Manufacturing Monitoring solution.

Early bearing fault detection weeks before failure — reducing unplanned downtime by up to 60%
Distributed monitoring from a single fiber — no wiring, no sensor nodes, no batteries
EMI-immune operation ideal for welding, motor drives, and high-voltage environments
Continuous temperature monitoring prevents thermal runaway in critical machinery
Automated anomaly detection with ML-driven classification for zero-config operation
Integration with existing SCADA/CMMS for seamless maintenance workflow automation

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