Understanding warnings and alerts - Amazon Monitron

Amazon Monitron is no longer open to new customers. Existing customers can continue to use the service as normal. For capabilities similar to Amazon Monitron, see our blog post.

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 ( Red warning icon with exclamation mark inside a white triangle. ) 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.

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.

Asset list interface showing various equipment statuses, including sorters and conveyor belts.

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
Green circular icon with a white checkmark symbol inside.

Healthy state: The status of all sensor positions on the asset is healthy.

Yellow warning triangle with exclamation mark, indicating caution or alert.

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.

Red hexagonal warning sign with exclamation mark indicating caution or alert.

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.

Wrench icon on a blue square background, representing a tool or settings symbol.

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.

Mobile app interface showing Sorter 1 status with two positions, one in alarm and one healthy.

The following table describes the position status indicators.

Status State
Green oval button with the text "Healthy" indicating a positive status.

The position is healthy: All measured values are within their normal range.

Yellow warning label with black text saying "Warning".

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.

Red oval button labeled "Alarm" indicating an alert or warning notification.

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.

Blue button labeled "Maintenance" indicating a system or service status.

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
  1. In the Assets list, choose the asset you want to view.

  2. Choose the position with the data that you want to view.

  3. 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).

    Two graphs showing total vibration and single axis vibration measurements over time with ISO warning and alarm levels indicated.
    Mobile app interface showing pump vibration data with alarm notifications and graphs.

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 ( Red warning icon with exclamation mark inside a white triangle. ).

Choosing the notification icon opens the Notifications page, which lists all pending notifications.

Notifications panel showing an alarm detected in Pump - Position 1 (Site 1) on 11/02/2020.

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
  1. On the Assets list, choose the asset with the alarm.

    Asset list showing various items with status indicators, including alarms on Sorter 1 and 2.
  2. Choose the position with the alarm to view the issue.

    Sorter 2 interface showing positions, warnings, and asset details for AnyCompany.
    Sorter 1 interface showing positions with alarm, warning, and healthy statuses.
  3. 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.

    Mobile app interface showing pump vibration data with alarm notifications and graphs.

    The status of the asset changes to:

    Blue button labeled "Maintenance" indicating a system or service status.

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
  1. In the Assets list, choose the asset with the issue.

  2. Choose the position with the resolved abnormality.

  3. Choose Resolve.

  4. For Failure mode, choose one of the available types.

  5. For Failure cause, choose the cause.

  6. For Action taken choose the action taken.

  7. Choose Submit.

    In the Assets list, the asset status returns to Healthy.

Step 5: Muting alerts

ISO thresholds apply broadly to large classes of equipment. Therefore, when detecting the potential failure of a specific asset, you may consider other factors as well. For example, you can mute a notification generated by ISO vibration thresholds if you assess that your equipment is still healthy when the alert is raised.

You also can mute alerts by providing the ‘No failure detected’ feedback for the ‘Failure mode’ while closing the alert. Note that Amazon Monitron will continue to notify users of potential failures detected based on Machine Learning, even when notifications based on ISO thresholds are muted.

Issue resolution feedback form with failure mode, cause, and action taken fields.