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Cumulative Timeline

Description: In the Fleet data type, the analysis stacks the failure times of each system in the data set into a cumulative timeline, and then converts it to grouped data based on the intervals you specify. Depending on the model you are working with, this function allows you to manually build a table that shows the number of failures in each interval (Crow-AMSAA model) or the number of distinct modes in each interval (Crow Extended model).

Field Format: [CUMTIMELINE(Source Number)(Row;Column)]

• Depending on the model you are working with, the Row and Column parameters will return the following information:

• • For the Crow-AMSAA model:

  • • Row corresponds to the order of the intervals (i.e., row 1 = 1st interval, row 2 = 2nd interval, etc.).

    • Column is an index value (from 1 to 3) that returns the following information:

    • • 1 = returns the number that is specified in Row.

      • 2 = returns the number of failures that occurred in the interval. The failure numbers are non-cumulative (where each row shows the number of failures that occurred in that interval only).

      • 3 = returns the time at which the interval ended. The times are cumulative (where each row shows the total amount of operating time accumulated by the end of each interval).

• • For the Crow Extended model:

  • • Row corresponds to the order in which the unique modes appeared in a specified interval (i.e., row 1 = 1st unique mode that occurred, row 2 = 2nd unique mode that occurred, etc.).

    • Column is an index value (from 1 to 5) that returns the following information:

    • • 1 = returns the number that is specified in Row.

      • 2 = returns the number of distinct modes in the interval.

      • 3 = returns the time at which the interval ended.

      • 4 = returns the mode classification

      • 5 = returns the failure mode.

Remarks:

Example:

• [CUMTIMELINE (1)(3;5)]

Returns:

• 3