描述
EPRO MMS6120产品详情
产品概述
EPRO MMS6120是一款双通道轴承振动监测模块，主要用于监测旋转机械设备的轴承振动状态。它通过采集轴承产生的振动信号，并对这些信号进行分析，从而实现对设备运行状态的实时监测和故障诊断。
主要特点与功能
双通道设计：能够同时监测两个轴承的振动情况。
高精度测量：采用高精度传感器，能够准确测量微小的振动信号。
多种分析功能：提供多种信号分析功能，如频谱分析、包络分析等，帮助用户快速定位故障。
灵活的配置：可以根据不同的应用需求进行灵活配置，如报警阈值、采样频率等。
多种接口：支持多种通信接口，方便与上位机进行连接。
应用领域
电机监测：监测电机的轴承磨损、不平衡等故障。
泵监测：监测泵的轴承磨损、叶轮磨损等故障。
风机监测：监测风机的轴承磨损、不平衡等故障。
压缩机监测：监测压缩机的轴承磨损、叶片磨损等故障。
产品优势
早期故障诊断：通过对振动信号的分析，能够早期发现设备故障，避免重大损失。
提高设备可靠性：定期监测设备运行状态，及时发现并处理潜在故障，提高设备可靠性。
降低维护成本：通过预测性维护，减少设备停机时间，降低维护成本。
EPRO MMS6120 Product Details
Product Overview
EPRO MMS6120 is a dual-channel bearing vibration monitoring module,which is mainly used to monitor the bearing vibration status of rotating mechanical equipment.It collects the vibration signals generated by the bearings and analyzes these signals to achieve real-time monitoring and fault diagnosis of the equipment operation status.
Main Features and Functions
Dual-channel design:It can monitor the vibration of two bearings at the same time.
High-precision measurement:It uses high-precision sensors to accurately measure tiny vibration signals.
Multiple analysis functions:It provides a variety of signal analysis functions,such as spectrum analysis,envelope analysis,etc.,to help users quickly locate faults.
Flexible configuration:It can be flexibly configured according to different application requirements,such as alarm thresholds,sampling frequencies,etc.
Multiple interfaces:It supports multiple communication interfaces for easy connection with the host computer.
Application areas
Motor monitoring:Monitor motor bearing wear,imbalance and other faults.
Pump monitoring:Monitor pump bearing wear,impeller wear and other faults.
Fan monitoring:Monitor fan bearing wear,imbalance and other faults.
Compressor monitoring:Monitor compressor bearing wear,blade wear and other faults.
Product advantages
Early fault diagnosis:By analyzing the vibration signal,equipment failures can be discovered early to avoid major losses.
Improve equipment reliability:Regularly monitor the operating status of the equipment,promptly detect and handle potential faults,and improve equipment reliability.
Reduce maintenance costs:Through predictive maintenance,equipment downtime is reduced and maintenance costs are reduced.
