Understanding warnings and alerts
Note
This section focuses on using the Amazon Monitron mobile app. To learn about the Amazon Monitron web app, see Understanding sensor measurements in the Amazon Monitron User Guide.
After a sensor is paired to an asset, Amazon Monitron starts monitoring the asset's condition. When it
detects an abnormal machine condition, it sends you a notification (
) and changes the asset state. The alert notification is generated using a
combination of machine learning and ISO 20816 standards for machine vibration.
To monitor the data and respond to alerts about abnormalities, you use the Amazon Monitron mobile app.
Your administrator will send you an email with information about how to log in for the first time and connect to your project.
Topics
Step 1: Understanding asset health
To monitor assets using the Amazon Monitron mobile app, start with the Assets list. This list is displayed when you open the mobile app.
Each asset in your project or site is listed in the Assets list.
On the Assets list page, each asset shows an icon indicating its health. The following table describes these icons.
| Icon | Health state |
|---|---|
|
Healthy state: The status of all sensor positions on the asset is healthy. |
|
Warning state: A warning has been triggered for one of the positions of this asset, indicating that Amazon Amazon Monitron has detected early signs of potential failure. Amazon Amazon Monitron identifies warning conditions by analyzing equipment vibration and temperature, using a combination of machine learning and ISO vibration standards. |
|
Alarm state: Once an asset has been placed in a warning state, Amazon Monitron will continue to monitor it. Again, Amazon Monitron is using a combination of machine learning and vibration ISO standards. If the condition of the asset gets significantly worse, Amazon Amazon Monitron will escalate by sending an Alarm notification when it detects that the equipment condition has significantly worsened. We recommend investigating the issue at the earliest opportunity. An equipment failure might occur if the issue isn't addressed. |
|
Maintenance state: One of the asset's sensors is in the maintenance state. The alarm state of the asset has been acknowledged by a technician, but not yet addressed. |
|
No sensor |
No sensor: At least one position on the asset doesn't have a sensor paired to it. |
When you choose an asset, the app displays the health status of each underlying sensor position.
The following table describes the position status indicators.
| Status | State |
|---|---|
|
The position is healthy: All measured values are within their normal range. |
|
A warning has been triggered for this position indicating early signs of a potential failure condition. We recommend that you monitor the equipment closely and initiate an investigation during an upcoming planned maintenance. |
|
An alarm has been triggered for this position, indicating that the machine vibration or temperature is out of the normal range at this position. We recommend investigating the issue at the earliest opportunity. An equipment failure might occur if the issue isn't addressed. |
|
The alarm state of the position has been acknowledged by a technician, but not yet addressed. |
|
No sensor |
The position doesn't have a sensor paired to it. |
When an issue is raised for an individual position, the status changes for that position and for the asset as a whole.
Step 2: Viewing asset conditions
Viewing assets is more than simply understanding the icons that show the asset and position health status. It is often useful to see the data collected by the sensors yourself.
To view sensor data in the Amazon Monitron mobile app
-
In the Assets list, choose the asset you want to view.
-
Choose the position with the data that you want to view.
-
Under the Vibration and Temperature tabs, choose the chart of recent sensor data and the level of detail that you want to see.
You can choose separate versions for different time periods (1 day, 1 week, 2 weeks, 1 month, and so on).
Step 3: Viewing and acknowledging a machine abnormality
The longer Amazon Monitron monitors a position, the more it fine-tunes its baseline and increases its accuracy.
When an Alarm or a Warning is triggered, Amazon Monitron
sends a notification to the mobile app that is displayed as an icon in the upper right of your
screen (
).
Choosing the notification icon opens the Notifications page, which lists all pending notifications.
When you receive a notification, you must view and acknowledge it. This doesn't fix the issue with the asset, it just lets Amazon Monitron know that you are aware of it.
To view and acknowledge an abnormality
-
On the Assets list, choose the asset with the alarm.
-
Choose the position with the alarm to view the issue.
-
To confirm that you are aware of the issue, choose Acknowledge.
Note that the text on the following screens also indicates whether the alert notification was triggered based on the equipment's vibration or temperature, or by the vibration ISO thresholds or machine learning models. This information can be used by technicians to investigate and fix the issue. After an abnormality has been acknowledged and repaired, resolve the issue in the mobile app.
The status of the asset changes to:
After the alarm has been acknowledged, the abnormality can be examined and fixed as appropriate.
Step 4: Resolving a machine abnormality
Resolving an abnormality returns the sensor to healthy status and provides information about the issue to Amazon Monitron so it can better determine when a failure might occur in the future.
For information about failure modes and causes, and how to resolve abnormalities, see Resolving a Machine Abnormality in the Amazon Monitron User Guide.
To resolve an abnormality
-
In the Assets list, choose the asset with the issue.
-
Choose the position with the resolved abnormality.
-
Choose Resolve.
-
For Failure mode, choose one of the available types.
-
For Failure cause, choose the cause.
-
For Action taken choose the action taken.
-
Choose Submit.
In the Assets list, the asset status returns to Healthy.
