The Acceleration List is a List Segment-Type.

Use it to import Acceleration data. (actually any data, but we 'put' use it for the Acceleration motion-derivative.

See Position-List to learn how to Import data to a List Segment-Type.

We integrate (numerically) your data to calculate the Velocity and Position data-points.

We re-sample the data to get the correct number of data-points to equal the number-of-steps for the segment-width of the Acceleration-List segment - see below

We plot Acceleration, Velocity, and Position graphs.

We linearly resample the acceleration values between each data point in your list.

We re-sample your data to calculate the correct number-of-points in the segment, such that:

Number-of-Points in the Acceleration List segment = Segment-Width × Number-of-Steps in Motion / 360

Acceleration-value, ,when a new point is not at an existing data-point:

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Acquire acceleration-data of a machine component with a DC-Accelerometer Sensor.

•A DC-Accelerometer Sensor is one that gives an output from 0Hz to say, 1000Hz.

•From 0Hz is important. At 0Hz, you can turn the accelerometer upside-down and the output from it changes, because gravity acts in the opposite direction for the sensor.

•You can use the output from the sensor for ±g (gravity) to calibrate it (g = ~9811mm/s/s).

•Import the data for one machine cycle. You can use an Encoder on a machine shaft to trigger the start and end the Acceleration Data acquisition.

•You get better results if you sample the data from a Dwell to a Dwell.

•Although there are mathematical techniques to compensate for any bias in the Acceleration Data, we do not use them when we integrate your Acceleration data to get Velocity and Position.

•If you want to compensate for the bias, calculate the average value of the Acceleration Data, and subtract the average value from each data-point before you import the data.