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- Bently Nevada
- 200200-03-03-05
- 200200 Trendmaster ProTim-R Dual Input
- USA
- 100.9 x 52.9 x 86.2 mm
- 0.545 kg
- Xiamen, China
- New & In Stock
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Product Overview
The Bently Nevada 200200-03-03-05 Trendmaster Pro TIM-R Dual Input Module is an industrial-grade signal acquisition and conditioning module used in the Trendmaster Pro condition monitoring system. It is designed to interface vibration and temperature sensors with centralized machinery health monitoring platforms.
This module supports dual-channel sensor input, making it suitable for monitoring multiple measurement points on rotating machinery such as pumps, compressors, turbines, fans, and other critical industrial assets.
Technical Specifications
| Parameter | Details |
|---|---|
| Manufacturer | Bently Nevada |
| Model | 200200-03-03-05 |
| Product Series | Trendmaster Pro TIM-R |
| Product Type | Dual Input Signal Conditioning Module |
| Dimensions | 100.9 × 52.9 × 86.2 mm |
| Weight | 0.545 kg |
| Mounting Type | DIN rail mounted |
| Input Channels | 2 (Dual-channel input) |
| Supported Signals | Vibration (velocity / acceleration), temperature |
| Signal Processing | Acceleration-to-Velocity (A-V) integration |
| Low-Frequency Capability | Yes (optimized for slow-speed machinery) |
| Bearing Fault Detection | Acceleration Enveloping (AE) capability |
| Temperature Inputs | RTD / Thermocouple compatible |
| Electrical Isolation | Yes (isolated input channels) |
| System Compatibility | Trendmaster Pro architecture |
| Application Type | Machinery condition monitoring / predictive maintenance |
Function and Working Principle
The 200200-03-03-05 module functions as a dual-channel intelligent interface between field sensors and the Trendmaster Pro monitoring system.
Main Functions
- Accepts two independent sensor inputs
- Processes vibration and temperature signals
- Converts acceleration signals into velocity (A-V integration)
- Enhances low-frequency vibration detection
- Supports bearing fault detection via envelope processing
- Transmits processed data to central monitoring systems
Working Principle
The module receives raw signals from connected sensors such as accelerometers or temperature probes. It then performs internal signal conditioning:
- A-V Integration → Converts acceleration to velocity for analysis
- Envelope Detection (AE) → Extracts bearing fault signatures
- Signal Filtering → Improves low-frequency measurement accuracy
Processed outputs are sent to the Trendmaster Pro system, where machinery condition is analyzed and trended over time.
Role in Machinery Condition Monitoring Systems
The 200200-03-03-05 plays a key role in distributed monitoring systems:
- Enables multi-point machinery monitoring
- Improves vibration data interpretation
- Supports predictive maintenance strategies
- Enhances early fault detection capability
- Reduces unplanned downtime
- Increases plant-wide reliability
It is commonly deployed in industrial condition monitoring networks where multiple sensors are required per machine.
Industrial Applications
Typical applications include:
- Power generation turbines and auxiliaries
- Oil and gas compressors and pumps
- Petrochemical processing equipment
- Cooling tower and fan systems
- Mining and mineral processing machinery
- Paper mills and heavy manufacturing plants
- Water treatment facilities
- Large-scale rotating machinery systems
It is particularly effective for critical assets requiring dual-point monitoring.
Installation and System Integration
Installation Guidelines
- Mount on DIN rail inside control cabinet
- Ensure proper grounding and shielding
- Maintain separation from power wiring
- Use compatible Trendmaster Pro system wiring
- Verify channel configuration before commissioning
- Follow environmental temperature specifications
Proper installation ensures stable operation and accurate signal processing.
Compatible Components and Systems
The 200200-03-03-05 integrates with:
- Bently Nevada Trendmaster Pro systems
- TIM (Transducer Interface Modules) architecture
- 200155 series accelerometers
- Vibration and velocity sensors
- Temperature sensors (RTD and thermocouples)
- Plant-wide condition monitoring networks
- Predictive maintenance software platforms
It functions as part of a complete machinery health monitoring ecosystem.
Recommended Alternative Models
| Model | Function | Key Feature |
|---|---|---|
| 200200-03-03-05 | Dual-input TIM-R module | Standard dual-channel processing |
| 200200-01-01-05 | Dual input module | General monitoring configuration |
| 200200-02-02-05 | Enhanced processing module | Advanced signal handling |
| 200155-18-CN | Accelerometer sensor | Field vibration measurement |
| 3500/60 series | Protection system modules | High-end machinery protection |
Key Advantages
- Dual-channel sensor input capability
- Advanced vibration signal processing (A-V & AE)
- Optimized for low-frequency machinery monitoring
- Compact DIN rail mounting design
- Supports both vibration and temperature inputs
- Strong compatibility with Trendmaster Pro systems
- Enhances predictive maintenance accuracy
- Improves early fault detection capability
Technical FAQs
What is the main function of the 200200-03-03-05?
It processes and conditions signals from two vibration or temperature sensors for machinery monitoring.
Does it measure vibration directly?
No. It processes signals from external sensors like accelerometers.
What is the advantage of dual inputs?
It allows monitoring of two points on the same machine, improving diagnostic accuracy.
Is it suitable for low-speed machinery?
Yes. It is optimized for low-frequency vibration analysis.
What system does it require?
It is designed for use with the Bently Nevada Trendmaster Pro system.
Conclusion
The Bently Nevada 200200-03-03-05 Trendmaster Pro TIM-R Dual Input Module is a powerful and flexible signal processing unit for industrial condition monitoring systems. Its dual-channel capability, advanced vibration processing functions, and compatibility with Trendmaster Pro architecture make it highly effective for monitoring critical rotating machinery. It plays a key role in predictive maintenance, fault detection, and improving overall equipment reliability in industrial environments.