
A6125 Emerson Case Piezoelectric Vibration Monitor
Delivery time 3 days
Product origin New/used
Email plcru@foxmail.com
Mobile/wechat /WhatsApp +86 18185397189
The following is the data sheet information of Emerson A6125 shell piezoelectric
The following is the data sheet information of Emerson A6125 shell piezoelectric vibration monitor, covering key contents such as core parameters, functional characteristics and application scenarios:
I. Basic information
Model: A6125
Brand: Emerson
Category: Piezoelectric vibration monitor (shell vibration monitoring)
Application scenario: Suitable for shell vibration monitoring of industrial rotating machinery (such as pumps, fans, compressors, motors, etc.), which can monitor the operation status of the machinery in real time and warn of abnormal vibration.
II. Functional characteristics
Measurement principle
Based on the piezoelectric effect, the acceleration, velocity or displacement parameters of the shell vibration are measured through the built-in piezoelectric accelerometer.
Supports multiple measurement modes such as **peak value, effective value (RMS)**.
Channel configuration
Single-channel design, focusing on vibration monitoring of a single measuring point.
Alarm and output
Alarm function: You can set independent **Warning (Warning) and trip (Trip)** thresholds, and support relay output (normally open/normally closed contacts).
Analog output: Provides a standard 4-20 mA current signal (proportional to the vibration amplitude) for easy access to control systems (such as DCS, PLC).
Buffered output: Optional raw vibration signal output (for spectrum analysis or fault diagnosis).
Signal processing
Built-in frequency filter: You can select wide-band (such as 10-1000 Hz) or specific frequency band monitoring to suppress environmental noise interference.
Support trend analysis: Track vibration amplitude changes through historical data and predict equipment degradation trends.
Self-check function
Built-in hardware fault detection (such as sensor disconnection, power supply abnormality) to ensure monitoring reliability.