Mining Intrinsically Safe Oil Metal Wear Debris Sensor - SKA GYM12
Specifications and Parameters
| Monitoring indicators | Measuring range | 分辨率 |
|---|---|---|
| Fine particles | 0-100% | 0.1% |
| Coarse particles | 1-10 | 1 |
| Temperature | -35-85℃ | 0.1℃ |
electrical performance
| Communication interface | data transmission | power | Voltage | Weight | Housing material | Cable Length | 防护等级 |
|---|---|---|---|---|---|---|---|
| 4-core cable tail |
Modbus | ≤2W | DC 12V | 200g | alloy | 1.5m | IP65 |
Product Introduction
SKA GYM12 Series
Mining Intrinsically Safe Oil Metal Wear Debris Sensor
The sensor adopts the latest scientific research technology, utilizes brand-new circuit design and model algorithms, and fully considers oil viscosity during online monitoring. By monitoring the wear degree of mechanical components in the oil, the sensor continuously records and evaluates the wear state of the equipment, playing an important monitoring role for early equipment fault wear. The probe can distinguish tiny particles and micron-level magnetic debris, so that early equipment faults can be discovered in time, improving data support for predictive maintenance of equipment.
Coal Mine Safety Mark Certificate No.: KFB240011 Explosion-proof Certificate: CITCEx23.1146 Explosion-proof Mark: Ex ibI Mb
Precise Measurement Under Harsh Conditions • A Powerful Tool for Wear Condition Monitoring • Equipment Wear Warning
Main Application Areas
- Mining Equipment — Monitors wear debris in hydraulic and lubrication systems of mining machinery to prevent unexpected failures.
- Oil Analysis — Provides real-time data on oil contamination and wear particles for condition-based maintenance.
- Predictive Maintenance — Enables early detection of component wear, reducing downtime and extending equipment life.
- Industrial Machinery — Suitable for monitoring gearboxes, engines, and hydraulic systems in harsh environments.
Keywords:oil wear debris sensor, intrinsically safe sensor, mining oil monitoring, metal particle sensor, oil condition monitoring, predictive maintenance sensor, Modbus oil sensor, wear debris detection