BENTLY 3500/44M-01-00 176449-03

Description

Detailed parameter table

3500/44M-01-00 176449-03

Product introduction

The Bently Nevada 3500/44M-01-00 176449-03 is a high-performance multi-channel dynamic signal analyzer module, engineered to capture and analyze high-frequency vibration and dynamic signals from industrial machinery. Building on the signal conditioning capabilities of the 3500/42M-01-00, this module adds advanced spectral analysis and waveform capture features, making it indispensable for diagnosing complex machinery faults—such as gear mesh issues, bearing defects, or rotor instability—that require detailed frequency-domain analysis.

As a specialized diagnostic tool, the 3500/44M-01-00 176449-03 works alongside the 3500/42M-01-00: while the 42M focuses on real-time monitoring and threshold-based alarming, the 44M captures high-resolution time waveforms and performs FFT analysis to identify the root causes of abnormal vibrations. It integrates seamlessly with the 3500/33-1-00 vibration monitor, providing complementary diagnostic data that enhances the system’s ability to detect and classify machinery faults.

Powered by reliable supplies like the 106M1079-01 or 3500/15 127610-01, this module thrives in harsh industrial environments, from gas turbine power plants to offshore drilling rigs. Its compatibility with the 3500/05-01-03-00-00-00 rack interface module enables secure remote access to diagnostic data, allowing engineers to analyze machinery health without onsite visits—critical for remote or hazardous locations.

Core advantages and technical highlights

High-speed signal acquisition: With a 51.2 kHz sampling rate (4x faster than the 3500/42M-01-00) and 24-bit ADCs, the 3500/44M-01-00 176449-03 captures high-frequency transients and harmonics that standard monitoring modules might miss. This is essential for detecting early-stage bearing defects (which produce high-frequency vibrations) or gearbox anomalies, where subtle frequency components indicate impending failure.

Advanced spectral analysis: The module performs real-time FFT analysis with up to 65536 points, generating detailed frequency spectra that reveal hidden patterns in vibration data. For example, it can identify sidebands around gear mesh frequencies—indicating misalignment or wear—or specific bearing defect frequencies from an 85515-02 transmitter’s signal. This level of detail transforms raw data into actionable diagnostic insights.

Waveform capture and storage: Equipped with 32GB internal memory, the 3500/44M-01-00 176449-03 can store hours of high-resolution time waveforms, triggered manually or automatically by alarms from the 3500/33-1-00. These waveforms are critical for post-event analysis—for instance, capturing the exact vibration signature during a turbine trip to determine whether it was caused by rotor rub or instability.

Seamless integration with monitoring ecosystem: The module works in tandem with the 3500/42M-01-00, receiving conditioned signals or operating in parallel to provide layered monitoring: the 42M handles continuous threshold monitoring, while the 44M performs deep diagnostics. Data is shared via the backplane with the 3500/05-01-03-00-00-00, enabling secure export to 170180-01-00 software for trending and reporting.

Typical application scenarios

In a natural gas processing plant, the 3500/44M-01-00 176449-03 is deployed alongside the 3500/42M-01-00 to monitor a large centrifugal compressor. The 42M tracks overall vibration levels and triggers alarms via the 3500/60, while the 44M captures high-resolution waveforms during each startup. When a “Warning” alarm occurs, engineers use the 44M’s FFT analysis to identify a 2x line frequency component—indicating electrical issues in the motor—and schedule repairs before a failure.

At a wind turbine farm, the module monitors gearbox health by analyzing vibration data from 85515-02 transmitters. Its high sampling rate captures the high-frequency impacts of gear tooth wear, which are invisible to lower-speed modules. The 44M automatically stores waveforms when vibration exceeds thresholds, and data is encrypted via the 3500/05-01-03-00-00-00 for transmission to onshore analysts using 170180-01-00 software. This enables proactive replacement of gearboxes before catastrophic failure.

In a steel mill, the 3500/44M-01-00 176449-03 is used to diagnose a rolling mill drive train. By comparing FFT spectra from the 44M with baseline data, maintenance teams detect increasing amplitudes at the pinion mesh frequency—indicating gear degradation. The module’s waveform capture confirms the presence of impact spikes, prompting a scheduled overhaul that avoids unplanned downtime during peak production.

3500/44M-01-00 176449-03

Related model recommendations

3500/42M-01-00: Signal conditioner module that works with the 3500/44M-01-00 176449-03 to provide layered monitoring (thresholds + diagnostics).

3500/33-1-00: Vibration monitor that triggers the 3500/44M-01-00 176449-03 to capture waveforms during alarm conditions.

85515-02: Vibration/temperature transmitter whose high-frequency signals are analyzed by the 3500/44M-01-00 176449-03.

3500/05-01-03-00-00-00: Rack interface module that enables secure export of spectral data from the 3500/44M-01-00 176449-03.

106M1079-01: Power supply unit for mid-sized systems using the 3500/44M-01-00 176449-03.

3500/15 127610-01: Redundant power supply ensuring uninterrupted operation during diagnostic data capture.

170180-01-00 software (v7.0+): Tool for advanced analysis of FFT spectra and waveforms from the 3500/44M-01-00 176449-03.

3500/50 286566-02: Operator interface module that displays real-time spectral data from the 3500/44M-01-00 176449-03.

Installation, commissioning and maintenance instructions

Installation preparation: Mount the 3500/44M-01-00 176449-03 in 2 consecutive slots of the 3500 series rack, ensuring the system is powered off (via 106M1079-01 or 3500/15 127610-01) during installation. Secure with screws torqued to 0.6 Nm, verifying backplane alignment. Connect sensors to BNC inputs using low-noise shielded cables—proximity probes require separate bias voltage (provided by the module), while IEPE devices use integrated 24V excitation. Link to the 3500/42M-01-00 via the backplane for synchronized data capture.

Commissioning steps: Power on the system and confirm initialization (steady power/channel LEDs). Use 170180-01-00 software (v7.0+) to configure sampling rates (up to 51.2 kHz), FFT resolution, and trigger conditions (e.g., “Alarm from 3500/33-1-00”). Calibrate inputs with a precision signal generator, verifying amplitude accuracy across 0.5 Hz to 20 kHz. Test waveform capture by simulating a vibration spike and confirming data is stored and visible on the 3500/50 286566-02.

Maintenance suggestions: Inspect quarterly for loose BNC connections or corrosion—clean with isopropyl alcohol if needed. Verify sampling rate accuracy semi-annually using a frequency standard. Check internal memory health monthly to ensure waveform storage is not corrupted. Export and archive diagnostic data quarterly to prevent memory overflow. If FFT analysis shows 异常 noise or channels fail to capture data, replace the module during a scheduled shutdown. Coordinate with 3500/42M-01-00 maintenance to ensure synchronized operation.

Service and guarantee commitment

The 3500/44M-01-00 176449-03 is backed by a 30-month warranty covering manufacturing defects, including ADC inaccuracies, FFT processing errors, or memory failures. During this period, Bently Nevada provides free repair/replacement and technical support for integrating with the 3500/42M-01-00 and configuring diagnostic parameters.

Our specialized diagnostics team offers 24/7 assistance for analyzing spectral data, with remote access via the 3500/05-01-03-00-00-00 to troubleshoot waveform capture issues. Extended warranty options (up to 5 years) include annual calibration checks, firmware updates, and priority access to replacement modules. Built on Bently Nevada’s expertise in machinery diagnostics, this module is guaranteed to deliver accurate, actionable insights—empowering teams to predict and prevent machinery failures.