OW298

OpsWatch Overview The OpsWatch monitoring system delivers real-time vibration and shock information which allows you to spot trends and detect indications of developing faults before they result in costly failures and unplanned downtime. Spot Failures. Reduce Downtime. Predicted Maintenance. During operaon, some leti vel of vibration in motors, pumps, conveyor systems or any mechanical system is a natural occurrence. There are normal vibraonti paerns whtt en equipment is in a start-up mode, when it is in operaonti or during shut-down processes. However, changes in a vibraonti paerntt can be an early warning signal of conditions that should trigger prevenvti e maintenance before equipment failure occurs. Vibration & Impact Monitoring Made Simple The OpsWatch monitoring system makes it simple to idenfti y changes in vibraon anti d see unexpected impact events. The rich data made available by the connti uous monitoring, allows your engineering and maintenance teams to develop customized alarm levels for each piece of monitored equipment and develop triggers for predictive maintenance rounes.ti The results are increased up-time, extended service life, reduced maintenance costs of mission critical equipment and fewer catastrophic failures.Benefits Web-hosted software allows you to access your data from any web-enabled device Real-time notificaonti of unacceptable vibraonti s and/or impacts Connti uous monitoring of equipment enables trend idenficti aonti Historical view of data for spotting equipment performance trends Equipment performance data that supports predictive and preventavti e maintenance plans OpsWatch Cloud Access your informaonti from any web-enable device through a secure log-in View dashboard provides quick overview of equipment status Normal or Alarm Condition Drill down into the data for more detailed analysis Features: Measure and record x, y, z impacts and vibraonti Define alarm levels for acceleraonti , velocity or rms vibraonti Clear alarms only aer beinft g acknowledged in the system Stream full accelerometer data for post-processing and analysis