$2,960.00 Original price was: $2,960.00.$1,320.00Current price is: $1,320.00.
The Bently Nevada 135489-01 is a 4-channel high-precision radial vibration and displacement monitoring module for the 3500 machinery protection system, dedicated to real-time non-contact measurement and condition monitoring of shaft radial vibration, axial position and keyphasor signals on critical rotating industrial equipment, with configurable dual-limit alarm thresholds, isolated analog signal outputs and reliable multi-interface communication capabilities.
| Parameter | Details |
|---|---|
| Model | 135489-01 |
| Manufacturer | Bently Nevada (Baker Hughes) |
| Product Type | 4-Channel Radial Vibration & Displacement Monitoring Module |
| Product Series | 3500 Machinery Protection System |
| Number of Independent Input Channels | 4 |
| Supported Sensors | 3300 XL series proximity probes, piezoelectric accelerometers, velocity transducers |
| Rated Supply Voltage | 18~36 V DC (nominal 24 V DC) |
| Typical Power Consumption | 5.2 W |
| Analog Output | 4-channel isolated 4~20 mA DC |
| Alarm Configuration | Dual programmable Alert/Danger alarm thresholds per channel |
| Relay Output | 6 configurable Form-C relay contacts for alarm status indication |
| Communication Interfaces | Modbus RTU/TCP, RS232, RS485, Ethernet |
| ADC Resolution | 24-bit |
| Operating Temperature Range | -30°C to +65°C |
| Storage Temperature Range | -40°C to +85°C |
| Dimensions (W×H×D) | 24.4 mm × 241.3 mm × 241.8 mm |
| Net Weight | 0.82 kg |
| Protection Rating | IP20 |
| Mounting Method | Full-height slot installation on standard 3500 system rack |
| Compliance Certifications | CE, UL, ATEX, IECEx |
The BENTLY 3500 system is a professional machinery protection and condition monitoring solution widely used in industries like oil and gas, power generation, and petrochemicals. It adopts a modular design, allowing flexible configuration of monitoring modules (e.g., vibration, temperature, and speed modules) to track key operating parameters of rotating equipment such as turbines and compressors. By collecting and analyzing data in real time, it can promptly identify issues like equipment imbalance or bearing wear, trigger alarms or shutdowns when thresholds are exceeded, and effectively prevent unexpected equipment failures to ensure production continuity.

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