

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](https://aws.amazon.com/blogs/machine-learning/maintain-access-and-consider-alternatives-for-amazon-monitron).

# Understanding sensor measurements and monitoring machine abnormalities
<a name="anom-monitoring-chapter"></a>

Amazon Monitron monitors temperature and vibration data from sensors and watches asset conditions for abnormalities that might indicate developing faults. You monitor your assets either with the Amazon Monitron web app, or with the Amazon Monitron mobile app, which you download and install on your smartphone. Amazon Monitron supports only smartphones using Android 8.0\$1 or iOS 14\$1 with Near Field Communication (NFC) and Bluetooth. 

This topic describes how to read sensor measurements, respond to notifications about machine abnormalities, and take one-time measurements. 

**Topics**
+ [Choosing your measurement viewing platform](platform-chapter.md)
+ [Viewing sensor measurements](view-sensor-measurement.md)
+ [Understanding sensor measurements](anom-sensor-measure.md)
+ [Understanding asset status](anom-monitor-assets.md)
+ [Acknowledging a machine abnormality](anom-acknowledge-anom.md)
+ [Resolving an abnormality](anom-resolve-anom.md)
+ [Taking a one-time measurement](anom-take-measure.md)

# Choosing your measurement viewing platform
<a name="platform-chapter"></a>

There are two ways to use Amazon Monitron to view your assets' measurements and abnormalities. You can view them in the mobile app, or you can view them in the web app. Each way has its advantages.

With the mobile app, you use your phone's Bluetooth and Near Field Communication (NFC) capabilities to install and configure gateways and sensors, as explained in [Wi-Fi gateways](setting-up-Wi-Fi-gateways.md). 

With the web app, you download your data to a .csv file. Also, your monitor is probably bigger than your phone, so the web app may be a better place to see measurements using line graphs.

You can activate either the mobile app or the web app by clicking on a link to your project. This is the link that the administrator sends to the user, as explained in [Sending an email invitation](resending-email.md). But you can re-generate this link from the **Projects** page by selecting a user and then choosing **Email instructions**, or by choosing **Copy link** under **Project details.**

![\[Project details showing name "Dan's Goat Ranch" with options to copy link or email instructions.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/send_project_link.png)


**Topics**
+ [In-app updates](#in-app-updates)

## In-app updates
<a name="in-app-updates"></a>

For access to the latest Amazon Monitron features, regularly check your mobile device for updates. Periodically, Amazon Monitron releases new application versions that you'll need to manually update if you don't enable automatic updates. These notifications will be provided on the web app as they become available.

**Flexible and immediate updates**

 Amazon Monitron provides two kinds of in-app updates: flexible and immediate. **Flexible updates** allow you to elect whether or not to update the Amazon Monitron app once you’ve signed in. **Immediate updates** contain security updates, and must be installed in order to use the app. You can install updates from the Amazon Monitron app, or directly from Google Play or the App Store. 

To manually install the latest updates:

1. Sign in to the Amazon Monitron app and choose **Update**.    
[\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/platform-chapter.html)

1.  When you select **update**, you'll be directed to Google Play or the App Store. Select **Update** or **Install** to start the update.     
[\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/platform-chapter.html)

1. If you start the update process within the Amazon Monitron app, you'll see a success message in the app once the update has been installed.  
![\[Mobile app interface showing successful update to version 1.0.0 with a list of assets below.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/app-update-success-screen.png)
**Note**  
 You will not see the success message if the update happens automatically, or if you initiate the update process within the App Store or Google Play.

# Viewing sensor measurements
<a name="view-sensor-measurement"></a>

You can choose to view your sensor measurement data in two chart formats: scatter plot and line plot. The following image shows the scatter plot view on the top and the line plot view on the bottom.

**Note**  
You can select your sensor measurement view from the **Chart type** menu in your mobile and web app.

![\[Dashboard showing vibration data for Position name 3, with warning alerts and graphs.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/scatter-plot-chart-measurement.png)


# Understanding sensor measurements
<a name="anom-sensor-measure"></a>

When a sensor is initially paired to an asset, Amazon Monitron will learn from the vibration and temperature data collected from the equipment, establishing a baseline to determine what is "normal" for that asset. It will use this learning to detect potential failures in the future.

Depending on the situation, operational scenario, use case, and various parameters like the asset’s duty cycle, Amazon Monitron will take between 14 and 21 days to establish this baseline. During this initial learning and training phase, the asset is assumed to be healthy.

After establishing a baseline for the asset, Amazon Monitron monitors the data it collects, looking for an event or trend that indicates a potential failure. It specifically watches for increases in temperature, or vibration levels, or both. Increases in temperature and vibrations are two of the main indicators of a malfunctioning machine. Machine abnormalities often indicate that an asset is starting to fail. 

Amazon Monitron uses vibration thresholds established by the International Organization of Standardization (ISO) for your class of machinery. It applies the ISO thresholds in combination with its self-training model to assess actual thresholds to fit your equipment. For example, if your machine runs a little hot or a little cold, or if it vibrates a little bit more than standard, Amazon Monitron adjusts the thresholds slightly so that it can more accurately identify when the machine is acting abnormally.

The only alarms you will recieve during the initial learning and training period will be from the ISO model (which does not require any learning period). You should treat ISO alarms during the training period as you would any alarm—acknowledge the alarm, perform any necessary review of the machine, and then close out the alarm with the suitable action taken code. After that time, Amazon Monitron continues to fine-tune the baseline, building a better picture of "normal" as the sensor collects more data.

If temperature or vibration levels inconsistently rise above the modified threshold, a failure might be possible, but is probably not imminent. In that case, Amazon Monitron sends a `Warning` notification. If the increase is consistently above the threshold, the conditions are clearly abnormal and a failure is much more likely. Under those circumstances, Amazon Monitron sends an `Alarm` notification to the mobile or web app.


|  |  | 
| --- |--- |
|  ![\[Notifications screen showing alarms and warnings for various positions with vibration and temperature data.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/mobileapp_notification.png)  |  ![\[Notifications panel showing alarms and warnings for various positions with detected vibration and temperature issues.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/webapp_notification.png)  | 

 

In this example, the Position 3 sensor has detected a persistent increase in temperature and vibration, indicating that a potential failure needs to be investigated.


|  |  | 
| --- |--- |
|  ![\[Pump monitoring interface showing vibration and temperature alarms with graphical data.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/mobile-understand-sensor-measurement.png)  |  ![\[Dashboard showing vibration and temperature data for a pump main asset with alarm notifications.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/web-understand-sensor-measurement.png)  | 

# Understanding asset status
<a name="anom-monitor-assets"></a>

When a sensor detects a machine abnormality, the status of the asset changes. When a problem occurs, you can see it in the **Assets** list in the Amazon Monitron app. 

**Topics**
+ [The Assets list](#anom-asset-list)
+ [Asset and position status](#anom-asset-icons)
+ [Notifications](#anom-notifications)

## The Assets list
<a name="anom-asset-list"></a>

The **Assets** list displays every asset in your site or project, showing the assets for the site or project that you are currently viewing. For more information about sites and projects, see [Navigating between projects and sites in the mobile app](SM-working-project-and-site.md).

When you open the Amazon Monitron mobile app, it displays the list of assets associated with the site or project that you last worked with. To navigate to the **Assets** list from elsewhere in the app, use the following procedure.

**To open the assets list in either the mobile app or the web app**

1. Choose the menu icon (☰). 

1. Choose **Assets**.

   The assets list is displayed.    
[\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/anom-monitor-assets.html)

## Asset and position status
<a name="anom-asset-icons"></a>

The **Assets** list shows the status of each listed asset with an icon, as shown in the following table. 


| Status | Meaning | 
| --- | --- | 
|  ![\[Green circular icon with a white checkmark symbol inside.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/healthy_icon.png)  |   **Healthy state**: The status of all sensor positions on the asset is healthy.   | 
|  ![\[Yellow triangular warning sign with black exclamation mark.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/warning_icon.png)  |   **Warning state**: A warning has been triggered for one of the positions of this asset, indicating that Amazon Monitron has detected early signs of potential failure. Amazon Monitron identifies warning conditions by analyzing equipment vibration and temperature, using a combination of machine learning and ISO vibration standards.  | 
|  ![\[Red hexagonal warning sign with exclamation mark indicating caution or alert.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/alarm_icon.png)  |  **Alarm state**: An alarm has been triggered for one of the positions of this asset, indicating that the machine vibration and temperature is out of the normal range at this position. We recommend that you investigate the issue at the earliest opportunity. An equipment failure might occur if the issue isn't addressed.   | 
|  ![\[Wrench icon on a blue square background, representing a tool or settings symbol.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/acknowledged_icon.png)  |  **Acknowledged state**: The warning or alarm state of the position has been acknowledged by a technician, but the asset has not yet been fixed.   | 
|  No sensor  |  **No sensor**: At least one position for the asset doesn't currently have a sensor paired to it.  | 

To learn more about a problem, choose the asset and look at the status of underlying sensor positions. 


|  |  | 
| --- |--- |
|  ![\[Mobile app interface showing Sorter 1 with two positions, one in alarm state and one healthy.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/unhealthy_asset.png)  |  ![\[Asset management interface showing Sorter 1 details with positions and status indicators.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/webapp_unhealthy-asset.png)  | 

Amazon Monitron uses icons similar to the asset status icons to show the status of sensor positions. 


| Status | Meaning | 
| --- | --- | 
|  ![\[Green oval button with the text "Healthy" indicating a positive status.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/healthy.png)  |  The position is healthy. All measured values are within the normal range.   | 
|  ![\[Yellow triangular warning sign with black exclamation mark.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/warning_icon.png)  |   **Warning state**: A warning has been triggered for one of the positions of this asset, indicating that Amazon Monitron has detected early signs of potential failure. Amazon Monitron identifies warning conditions by analyzing equipment vibration and temperature, using a combination of machine learning and ISO vibration standards.  | 
|  ![\[Red oval button labeled "Alarm" indicating an alert or warning notification.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/alarm.png)  | An alarm has been triggered for this position, indicating that the machine vibration and temperature is out of the normal range at this position. We recommend that you investigate the issue at the earliest opportunity. An equipment failure might occur if the issue isn't addressed.  | 
|  ![\[Blue button with white text reading "Acknowledged".\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/acknowledged.png)  |  The warning or alarm state of the position has been acknowledged by a technician, but not yet fixed.  | 
|  No sensor  |  No sensors are currently paired with the position.   | 

## Notifications
<a name="anom-notifications"></a>

When a warning or an alarm alert is generated, Amazon Monitron sends a notification to the admin user and technician in the app. Authorized personnel can also see notifications by choosing the notification icon in the mobile app when it displays an alert symbol ( ![\[Red warning icon with exclamation mark inside a white triangle.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/notification.png) ). 

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


|  |  | 
| --- |--- |
|  ![\[Notifications screen showing alarms and warnings for various positions with vibration and temperature data.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/mobileapp_notification.png)  |  ![\[Notifications panel showing alarms and warnings for various positions with detected vibration and temperature issues.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/webapp_notification.png)  | 

# Acknowledging a machine abnormality
<a name="anom-acknowledge-anom"></a>

After receiving a notification, the admin user or technician must acknowledge it. Acknowledging the notification lets other users know that the issue has been noted and that action will be taken.

**Topics**
+ [To view and acknowledge a machine abnormality](#anom-acknowledge)

## To view and acknowledge a machine abnormality
<a name="anom-acknowledge"></a>

1. From the **Assets** list, choose the asset that is reporting an abnormality. 

1. To view the issue, choose the position with the abnormality. 

   Sensor measurements that show the anomaly are displayed.   
![\[Dashboard showing vibration and temperature data for a pump, with alarm notifications and asset status.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/web-understand-sensor-measurement.png)

1. Choose **Acknowledge**. 

   The status of the asset changes to **Maintenance**. 

# Resolving an abnormality
<a name="anom-resolve-anom"></a>

After an abnormality has occurred and been acknowledged, it must be addressed. You might fix it yourself, or call in a specialist. After the machine that reported the abnormality has been fixed, resolve the abnormality in the Amazon Monitron app. 

Resolving an abnormality returns the sensor to a healthy state. It also sends Amazon Monitron information about the problem so it can better predict similar abnormalities.

You can choose from among many common types of failure (called failure modes) and causes of failures. If none of the modes or causes apply to your situation, choose **Other**. 

**Topics**
+ [Failure modes](#failure-modes)
+ [Failure causes](#failure-causes)
+ [To resolve a machine abnormality using the mobile app](#anom-resolve)

## Failure modes
<a name="failure-modes"></a>

The following are the Amazon Monitron failure modes or types:
+ **No failure detected (mute alert)**: Alert won't trigger if same abnormal condition is detected 
+ **Blockage**: Obstruction that causes restrictive operation 
+ **Cavitation**: Loss of pump suction pressure 
+ **Corrosion**: Moist corrosion, fretting corrosion, false brinelling 
+ **Deposit**: Build up of particles 
+ **Imbalance**: Rotating component out of balance 
+ **Lubrication**: Insufficient lubrication or improper lubrication 
+ **Misalignment**: Rotating assembly is not aligned 
+ **Other** 
+ **Resonance**: External vibration sources 
+ **Rotating looseness**: Rotating components like fan blade or pulley loose 
+ **Structural looseness**: Mounting of component is loose
+ **Transmitted fault**: Caused by external forces
+ **Undetermined (keep monitoring)**: Alert will trigger if same abnormal condition is detected.

## Failure causes
<a name="failure-causes"></a>

The following are the Amazon Monitron failure causes:
+ **Administrtion**: Operator error
+ **Design**: Manufacturer design insufficient 
+ **Fabrication**: Asset was modified from original state
+ **Maintenance**: Lack of maintenance performed on asset 
+ **Operation**: Operation state change
+ **Other**: Storage, transportation (vibration/shock), bearing selection. manufacturing concerns, material concerns 
+ **Quality**: Manufacturer quality insufficient 
+ **Undetermined**: No root cause determined
+ **Wear**: Breakdown/Degradation over time

## To resolve a machine abnormality using the mobile app
<a name="anom-resolve"></a>

1. From the **Assets** list, choose the asset that had an abnormality that you resolved. 

1. Choose the position with the abnormality. 

1. Choose **Resolve**.   
![\[Mobile app interface showing "Left bearing 1" with "Acknowledged" and "Resolve" buttons.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/resolve.png)

1. For **Failure mode**, choose the type of failure that occurred.   
![\[Issue resolution feedback form with dropdown fields for failure mode, cause, and action taken.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/resolution.png)

1. For **Failure cause**, choose the cause of the failure. 

1. For **Action taken**, choose which action you took. 

1. Choose **Submit**. 

# Taking a one-time measurement
<a name="anom-take-measure"></a>

In addition to viewing the measurements that a sensor normally makes, you can take a one-time measurement with a sensor at any time.

**Important**  
You can only take a sensor meaurement using the Amazon Monitron mobile app. Both admins and technicians can take this action.

**Topics**
+ [To take a one-time measurement (mobile app only)](#take-measure)

## To take a one-time measurement (mobile app only)
<a name="take-measure"></a>

1. From the Amazon Monitron mobile app, select your project.  
![\[Amazon Monitron mobile app interface showing Projects page with one Test_Project listed.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/measurement-1.png)

1. From the Amazon Monitron projects menu, select **Assets** .  
![\[Menu options in a project interface, with "Assets" highlighted in orange.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/measurement-2.png)

1. From the list of assets, choose the asset that is paired to the sensor whose measurement you want to take.  
![\[Assets page showing one example asset for Site 1 with options to add or find assets.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/measurement-3.png)

1. Then, select the sensor you want to take the measurement with.  
![\[Asset management interface showing Example_Asset with offline and maintenance status.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/measurement-4.png)

1. On the sensor page, from **Sensor details**, choose **Actions**.  
![\[Sensor details page showing offline status, battery level, and firmware version with Actions dropdown.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/measurement-5.png)

1. From **Actions**, choose **Take measurement**.  
![\[Mobile app interface showing sensor details with "Take measurement" option highlighted.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/measurement-6.png)

1. Hold your smartphone close to the sensor.  
![\[Smartphone screen showing "Ready to Scan" with an icon of a phone near a sensor.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/measurement-7.png)![\[Smartphone screen showing "Ready to Scan" with an icon of a phone near a sensor.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/sensor-measure.png)

1. When the measurement has been taken, move your smartphone away from the sensor.  
![\[Dialog box showing successful measurement initiation and instruction to remove phone.\]](http://docs.aws.amazon.com/Monitron/latest/user-guide/images/measure-success.png)

   The new measurement is added to the data that the sensor has already collected.