

Online Wear Debris Sensor
在线磨损碎屑传感器
- SKU OCM-0003
- Oil Condition Monitoring
- CE (to be confirmed)
- ISO 9001 manufacturing (to be confirmed)
Price on request — FOB / CIF quoted per order
Prices depend on configuration, quantity and destination port.
Key specifications
| Detection threshold, ferrous | ≈ 50–100 µm |
|---|---|
| Detection threshold, non-ferrous | ≈ 200–300 µm |
| Flow rate range | 0.5–20 L/min (by tube size) |
| Operating pressure | ≤ 350 bar |
| Oil temperature | −40 to 120 °C |
| Output | 4–20 mA, RS-485, Modbus, CAN |
By Lab Manufacturers China Technical TeamLast reviewed Standards: ISO 4406, ISO 4407, ISO 11171
What is the Online Wear Debris Sensor?
An online wear debris sensor detects and sizes ferrous and non-ferrous metallic particles in flowing oil using inductive coils. It provides early warning of component wear in gearboxes, engines and turbines by counting individual particles and trending cumulative mass.
What is the Online Wear Debris Sensor?
An online wear debris sensor detects and sizes ferrous and non-ferrous metallic particles in flowing oil using inductive coils. It provides early warning of component wear in gearboxes, engines and turbines by counting individual particles and trending cumulative mass.
Overview
The sensor contains a flow tube surrounded by a set of coils. An alternating magnetic field is established, and a particle passing through disturbs it. Ferrous particles increase the magnetic permeability and produce a signal of one polarity, while non-ferrous conductive particles, such as copper and aluminum, create eddy currents that produce the opposite polarity. Signal amplitude is proportional to particle size, allowing classification and estimation of particle mass. Typical detection thresholds are about 50 to 100 micrometers for ferrous and 200 to 300 micrometers for non-ferrous particles in standard tube diameters, detecting larger fragments earlier than spectrometric oil analysis. The controller provides cumulative counts, rates and alarms, with outputs for SCADA or turbine control systems.
How does it work?
Condition monitoring sensors convert a physical property of oil into an electrical signal. Capacitive polymer sensors measure relative humidity of oil, expressed as percent saturation, because water absorbs into a polymer film and changes its capacitance. Light-blocking or light-scattering sensors count particles in a small flow cell, from which ISO 4406 cleanliness codes are derived. Inductive coil sensors detect ferrous and non-ferrous metal particles passing through a coil by the perturbation they cause in a magnetic field. Multi-sensor probes combine dielectric constant, conductivity, temperature and viscosity, computed from resonant tuning fork or quartz crystal oscillation, to produce an oil health index. Data is logged in a controller and transmitted to a condition monitoring platform through 4-20 mA, Modbus or other protocols, where alarm thresholds and trends are evaluated.
What are the key features?
- Inductive coil sensing of ferrous and non-ferrous particles
- Particle size classification and cumulative mass estimate
- Unaffected by oil color, air bubbles or water
- Flow tube diameters matched to line flow rates
- Alarm outputs and fieldbus for SCADA integration
What are the technical specifications?
A typical online wear debris sensor configuration offers detection threshold, ferrous of ≈ 50–100 µm, detection threshold, non-ferrous of ≈ 200–300 µm, flow rate range of 0.5–20 L/min (by tube size), operating pressure of ≤ 350 bar, oil temperature of −40 to 120 °C and output of 4–20 mA, RS-485, Modbus, CAN. Values are indicative of the product class; the exact figures for each configuration are confirmed on the quotation and the calibration documents supplied with the instrument.
Which applications is it used for?
The Online Wear Debris Sensor is used in wind turbine gearbox monitoring, engine and transmission in mining trucks and turbine and compressor bearing protection. Across the wider Oil Condition Monitoring class, laboratories also deploy it for hydraulic system cleanliness monitoring, wind turbine gearbox oil condition monitoring and turbine lube oil water detection.
Which standards and certifications apply?
Relevant standards and methods include ISO 4406, ISO 4407, ISO 11171, ISO 17359, ISO 13374, ASTM D7647, ASTM D7917 and IEC 60079-0. Certification candidates for this model are CE and ISO 9001 manufacturing; each is to be confirmed for the specific configuration before shipment, and certificates are supplied only where they have been issued.
Install sensors at representative locations, typically in a flowing return line downstream of the component and upstream of the filter, where oil is well mixed and pressure is moderate. Avoid dead legs and ensure flow within the sensor's specified range. Configure alarms based on baseline data from new or healthy oil, not generic limits alone. Periodically verify sensor output against laboratory samples, since sensors drift or fouling can occur. Protect cables and connectors from vibration and heat, and follow hazardous-area requirements such as ATEX or IECEx where applicable. Document installation, calibration and alarm settings.
How do I select the right Online Wear Debris Sensor?
Select a wear debris sensor for high-value, critical assets where large-particle wear events must be caught early, such as wind turbine gearboxes and large engines. Specify flow tube size, pressure, particle classes, output protocol and whether ferrous only or ferrous plus non-ferrous detection is needed.
How does it compare with other Oil Condition Monitoring variants?
Match the sensor to the failure modes that matter for the asset. Hydraulic and turbine systems suffer mostly from particle and water contamination, so a particle monitor and moisture sensor are the priority. Gearboxes and engines exhibit wear and oil degradation, where a wear-debris sensor and a multi-parameter probe give earlier warning. Decide between inline permanent installation and portable devices: inline gives continuous trends and alarms, while portable gives flexible coverage of many assets. Check operating pressure and temperature, installation port threads, output signals, hazardous-area approvals, calibration method and whether the sensor reports absolute values, such as ppm water, or relative trends only. Integration with existing SCADA or CMMS systems should be confirmed before purchase.
Full specifications
| Detection threshold, ferrous | ≈ 50–100 µm |
|---|---|
| Detection threshold, non-ferrous | ≈ 200–300 µm |
| Flow rate range | 0.5–20 L/min (by tube size) |
| Operating pressure | ≤ 350 bar |
| Oil temperature | −40 to 120 °C |
| Output | 4–20 mA, RS-485, Modbus, CAN |
| Particle classes | ≥ 6 size classes |
| Ingress protection | IP67 |
| Supply voltage | 9–36 V DC |
Indicative values for this product class. Final specifications are confirmed on the quotation and in the calibration documents supplied with the instrument.
Applications
- Wind turbine gearbox monitoring
- Engine and transmission in mining trucks
- Turbine and compressor bearing protection
Key features
- Inductive coil sensing of ferrous and non-ferrous particles
- Particle size classification and cumulative mass estimate
- Unaffected by oil color, air bubbles or water
- Flow tube diameters matched to line flow rates
- Alarm outputs and fieldbus for SCADA integration
Frequently asked questions about Online Wear Debris Sensor
Inductive sensors detect metallic particles: ferrous such as steel and iron, and non-ferrous conductive such as copper and aluminum. They do not detect non-metallic particles such as dust, rubber or fibers, which need a particle counter.
Spectrometry measures dissolved and fine metals in ppm, while inductive sensors count individual large particles in real time. Together they cover the full wear spectrum: fine particles from normal wear and larger fragments from severe events.
Generally no, because inductive detection responds to conductive or magnetic material, not to optical scattering. Bubbles and water have minimal influence, which is an advantage over optical particle sensors in aerated oils.
Oil condition monitoring tracks the health of lubricating or hydraulic oil using sensors or periodic tests, measuring water, particles, wear debris, viscosity and chemistry. Trends reveal contamination, wear or degradation early so maintenance can be planned before failure.
Online monitoring uses sensors installed on the machine to provide continuous data and alarms, while offline monitoring relies on periodic samples tested in a laboratory. Online data gives faster warning; laboratory tests give more precise and comprehensive results.
Water content, particle count and temperature are the most valuable for hydraulic and turbine systems. Wear debris, viscosity and dielectric constant add insight for gearboxes and engines. The best selection depends on the dominant failure modes of each asset.
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