• Commissioning Sensors (Mobile App)

      • Tap "assets" in the main menu at the bottom of the screen.

      • In the search bar, type the asset name you want to commission a sensor to.

      • Tap on the asset you want to commission a sensor to.

      • Tap "+ commission sensor".

      • Press "Allow" when asked for permission to find Bluetooth devices

      • Tap the sensor you want to commission from the list.

      • Change the sensor's position name by typing the new desired name in the field.

      • When the sensor position name is set, tap "yes, commission".

      • OPTIFY will check the sensor's firmware and will update if necessary.

      • The sensor has been successfully commissioned.

    • Update Sensor Firmware (For Mobile App-Monitored Sensors)

      • Tap on "Assets" at the bottom of the screen. 

      • From the list of assets, tap on an asset monitored by a sensor. 

      • If the asset is monitored by a sensor with outdated firmware, you will see a pop-up that there is a firmware update available. 

      • To begin the firmware update, tap "Update now". 

      • OPTIFY will scan for all sensors commissioned to the asset with outdated firmware. 

      • After the scan is complete, tap "Update" to begin the firmware update. 

      • OPTIFY will begin updating the sensor's firmware. Be sure to keep your mobile device near the sensor until this update is complete. 

      • The firmware has been successfully updated. 

      • After all the asset's sensors have been updated, tap "back" to return to the asset properties tab. 

    • High Sampling Range Options

      • Tap on the asset with the Performance Sensor whose sampling range you wish to change.

      • Go to the sensors page (5/5) of the asset, then tap on the Performance Sensor whose sampling range you wish to change.

      • This will take you to the sensor's settings page. Scroll down to the bottom to edit the Acceleration raw data collection settings.

      • Tap on the box that says Sample Rate and select the sample rate. 

      • Next, tap on the box that says Samples/Axis.

      • Once you have made your selections, tap Save.

      • When the sensor popup appears, tap Save again to save the settings to the Performance Sensor. 

  • Installing the Sensor

    • Installing on Bearings

      • For sensor-ready bearings, use the provided wrench to remove the plug from the sensor port

      • Install the OPTIFY Performance sensor by screwing it into the open port by hand. Tighten the sensor by hand until the sensor is securely attached to the bearing.

      • Use the provided wrench to tighten the Performance sensor to the bearing until the arrows on the sensor are parallel to the shaft

      • The Performance sensor has been successfully installed!

  • KPI Terminology

    • Health Parameters

      • The health parameters for the OPTIFY Performance Sensor are:

        1. Acceleration RMS - the sum of all vibrations measured within a specific range for a given axis. 
        2. Velocity RMS - the fixed value point for the root mean square of vibration for a given axis.
        3. Asset Skin Temperature - the surface temperature of the asset

        Both Acceleration RMS and Velocity RMS are split into three axes: axial, tangential, and radial. 

      • Acceleration RMS:

        • Provides an overview of the system's vibration energy along one of the three axes.
        • The graph displays the system's vibration data along the chosen axis, with units in root mean square amplitude due to the acceleration of gravity (g RMS), over time
        • Can serve as a basic method to determine the system's condition throughout its lifetime
        • This RMS value can help you detect system failure occurrence but cannot determine vibration cause
        • Acceleration data can be critical for detecting faults in bearings, gear mesh, or asset electrical issues

      • Velocity RMS:

        • Provides an overview of the system's vibration energy along one of the three axes. 
        • The graph displays the system's vibration data along the chosen axis, with units in root mean square amplitude of the integrated velocity due to the acceleration of gravity (in/s RMS or mm/s RMS), over time 
        • Serves as a basic method to determine the system's condition throughout its lifetime
        • This RMS value can help you detect system failure occurrence but cannot determine vibration cause
        • Velocity data is the most common measurement to identify various problems or acceptability (i.e., the unit being unbalanced, misaligned, or loose) for machinery structure, foundation, or bearings

    • Operational Parameters

      • The optional parameters for the OPTIFY Performance Sensor are:

        1. Index - the number of measurements collected by a sensor
        2. Kurtosis - a statistic characterizing a random signal compared to a normal distribution
        3. Skewness - a measurement of the signal's asymmetry
        4. Velocity Peak Amplitude - The amplitude of the largest peak in the velocity frequency spectrum
        5. Velocity Peak Frequency - The frequency of the largest peak in the velocity frequency spectrum 
        6. Motor Speed - The RPM of a motor's output shaft (available on motor assets only) 
        7. Peak Acceleration - The highest value of all of the 4000 acceleration readings collected in each measurement

      • Kurtosis:

        • There is no dimension for this parameter, just a numeric value
        • It can help detect failures in the system
        • A kurtosis value of three (3) generally indicates a healthy system
        • A kurtosis value significantly greater than three (3) can indicate progressing system failures

      • Skewness:

        • There is no dimension for this parameter, just a numeric value
        • Skewness measures the lack of symmetry of the distribution
        • A skewness value of zero (0) generally indicates a healthy system

      • Velocity Peak Amplitude:

        • This parameter is the amplitude of the vibration corresponding to the peak frequency. 
        • When viewing an FFT, this value would be the location of the highest peak on the Frequency axis. 

      • Velocity Peak Frequency:

        • This parameter is the vibration frequency which had the greatest amplitude during the measurement. 
        • When viewing an FFT, this value would be the location of the highest peak on the Frequency axis.  

      • Motor Speed:

        • Only available for motor assets
        • This parameter provides the speed of the motor's output shaft in RPM 

      • Peak Acceleration:

        • The graph displays the absolute maximum amplitude for the acceleration time series
        • The sensor collects roughly 4000 acceleration measurements per load measurement
        • The absolute maximum data point for the measurements is the peak acceleration

  • Guidance on Setting Alert/Alarm Levels

    • Asset Skin Temperature

      • Determine approximate baseline values for temperature by letting your equipment run for one (1) to two (2) weeks (depending on the equipment's run-time schedule).

      • The alert level should be set twenty (20) percent higher than the baseline value.

        For example, if your baseline value is 28 degrees C, your alert level should be 33.6 degrees C (28 x 1.2 = 33.6).

      • The alarm level should be set thirty (30) percent higher than the baseline value.

        For example, if your baseline value is 28 degrees C, your alarm level should be 33.6 degrees C (28 x 1.3 = 36.4).

      • To set alert and alarm levels, please refer to the Setting Alert and Alarm Levels instructions.

        You can also access the instructions linked above by scanning this QR code.

    • Acceleration RMS

      • Determine approximate baseline values for acceleration root mean square (RMS) by letting your equipment run for one (1) to two (2) weeks (depending on the equipment's run-time schedule).

      • The alert level should be set three (3) times higher than the baseline value.

        For example, if your baseline value is 0.03g RMS, your alert would be 0.09g RMS (0.03 x 3 = 0.09).

      • The alarm level should be set six (6) times higher than the baseline value.

        For example, if your baseline value is 0.03g RMS, your alarm would be 0.18g RMS (0.03 x 6 = 0.18).

      • Repeat all previous steps, including determining a baseline, for each of the three axes to ensure that each axis has proper alert and alarm levels. 

      • To set alert and alarm levels, please refer to the Setting Alert and Alarm Levels instructions.

        You can also access the instructions linked above by scanning this QR code.

    • Velocity RMS (Machines Operating 60-600rpm)

      • Determine approximate baseline values for velocity root mean square (RMS) by letting your equipment run for one (1) to two (2) weeks (depending on the equipment's run-time schedule).

      • The alert level should be set fifty (50) percent higher than the baseline value.

        For example, if your baseline value is 0.08mm/s RMS, your alert level should be 0.12mm/s RMS (0.08 x 1.5 = 0.12).

      • The alarm level should be set two (2) times higher than the baseline value.

        For example, if your baseline value is 0.08mm/s RMS, your alarm level should be 0.16mm/s RMS (0.08 x 2 = 0.16).

      • Repeat all previous steps, including determining a baseline, for each of the three axes to ensure that each axis has proper alert and alarm levels. 

      • To set alert and alarm levels, please refer to the Setting Alert and Alarm Levels instructions.

        You can also access the instructions linked above by scanning this QR code.

    • Velocity RMS (Machines Operating 600-12,000rpm)

      • Refer to ISO 10816 standards for guidance on vibration severity.

      • The default alert and alarm levels for velocity root mean square (RMS) in OPTIFY are set based on Class I small machines in the ISO 10816 standards.

      • The ISO 10816 standards designates machine classes as shown here.

      • Use the table shown here to determine the proper alert and alarm levels based on your asset's machine class.

        For example, if a machine is Class II then it should have an alert level of 7.1mm/s and an alarm level of 11.2mm/s.

      • Be sure to apply these same alert and alarm levels to each of the three axes for Velocity RMS

      • To set alert and alarm levels, please refer to the Setting Alert and Alarm Levels instructions. 

        You can also access the instructions linked above by scanning this QR code.

    • Velocity RMS (Machines Operating over 12,000rpm)

      • Determine approximate baseline values for velocity root mean square (RMS) by letting your equipment run for one (1) to two (2) weeks (depending on the equipment's run-time schedule).

      • The alert level should be set twenty-five (25) percent higher than the baseline value.

        For example, if your baseline value is 0.12mm/s RMS, your alert level should be 0.15mm/s RMS (0.12 x 1.25 = 0.15).

      • The alarm level should be set thirty (30) percent higher than the baseline value.

        For example, if your baseline value is 0.12mm/s RMS, your alarm level should be 0.156mm/s RMS (0.12 x 1.3 = 0.156).

      • Repeat all previous steps, including determining a baseline, for each of the three axes to ensure that each axis has proper alert and alarm levels. 

      • To set alert and alarm levels, please refer to the Setting Alert and Alarm Levels instructions.

        You can also access the instructions linked above by scanning this QR code.