Bently Nevada 3500/42M | preamplifier seismic monitoring device

The name Bently Nevada 3500/42M is a preamplifier seismic monitoring device

· Number of channels: It is a four channel monitor.

· Input signal: Accept signals from one to four proximity, acceleration, or velocity sensors.

· Power consumption: 7.7 watts.

· Axis power supply:- 24Vdc.

· Sensor power supply:- 24Vdc.

· Resolution: 0.3662A/bit.

· Output impedance: 550 ohms, absolute output impedance of 300 ohms.

· Signal processing: Radial vibration has user programmable direct filters, single pole- 3db, 4Hz to 4000Hz or 1Hz to 600Hz, 1% accuracy; The gap filter is 0.09Hz- 3dB； 

The non-1X filter is a constant Q notch filter with a minimum suppression of -34.9dB in the stopband, ranging from 60cpm to 15.8 times the operating speed; Smax varies 

between 0.125 and 15.8 times the operating speed; The 1X and 2X vector filters are constant Q-value filters with a minimum stopband suppression of -57.7dB.

· Accuracy: Gap and direct filtering are not included within 0.33% of full scale, 1X and 2X are within 0.33% of the normal maximum value of 1% of full scale, and differential 

expansion and thrust are within 0.33% of full scale accuracy.

· Size and weight: The size is 9.50 × 4.50 × 1.00 inches and the weight is 0.91kg.

· Equipment vibration monitoring and protection: used to monitor the vibration level of rotating mechanical equipment, such as engines, pumps, compressors, etc., compare 

monitoring parameters with selected alarm setpoints in real time, and trigger alarms. When the equipment vibration exceeds the set threshold, timely remind operators to 

pay attention to abnormal equipment conditions, and protect the machinery from possible damage caused by excessive vibration, such as bearing wear, shaft imbalance, 

component loosening, and other faults.

· Multi parameter monitoring and analysis: By analyzing radial vibration, thrust position REBAM、 Monitoring and analyzing various parameters such as acceleration, expansion 

difference, eccentricity, velocity, etc. can comprehensively understand the operating status of the equipment. Support spectrum analysis function, which can perform spectrum 

analysis on vibration data, identify fault frequencies and abnormal vibration modes, and provide more accurate basis for equipment fault diagnosis and maintenance.