Reliability Growth

Example 1

Summary: Perform reliability growth analysis using the Piecewise Weibull NHPP model for change point detection on the BrakeReliability data set.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/BrakeReliability.jmp");
// Reliability Growth
Reliability Growth(
    Input Format( Dates ),
    Timestamp( :Date ),
    Event Count( :Fixes ),
    Piecewise Weibull NHPP Change Point Detection
);

Example 2

Summary: Perform a reliability growth analysis using the Crow-AMSAA model for concurrent systems, incorporating time-to-event data and system identification.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/Concurrent Systems.jmp");
// Reliability Growth
Reliability Growth(
    Input Format( Concurrent Systems ),
    Time to Event(
        :Prototype 1, :Prototype 2
    ),
    System ID( :Failed System ),
    Crow AMSAA
);

Example 3

Summary: Perform Reliability Growth Analysis using the Crow-AMSAA model with Time to Event data in the Reliability Growth platform.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/NewEngineOperation.jmp");
// Reliability Growth
Reliability Growth(
    Input Format( Time to Event ),
    Time to Event( :Hours ),
    Event Count( :Fixes ),
    Crow AMSAA
);

Example 4

Summary: Assess reliability growth feasibility using the Parallel Systems input format in the Reliability Growth platform.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/Parallel Systems Different Intercepts.jmp");
// Reliability Growth Feasibility
Reliability Growth(
    Input Format( Parallel Systems ),
    Time to Event( :Hours ),
    Event Count( :Fixes ),
    System ID( :System ID ),
    Phase( :Phase )
);

Example 5

Summary: Analyze reliability growth using a parallel systems model with Weibull NHPP distributions in the Reliability Growth platform.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/Parallel Systems Different Intercepts.jmp");
// Reliability Growth Models
Reliability Growth(
    Input Format( Parallel Systems ),
    Time to Event( :Hours ),
    Event Count( :Fixes ),
    System ID( :System ID ),
    Phase( :Phase ),
    Distinct Phase Weibull NHPP,
    Distinct Weibull NHPP,
    SendToReport(
        Dispatch( {"Model List"}, "",
            TableBox,
            {Sort By Column( 4, 1 )}
        )
    )
);

Example 6

Summary: Perform a Reliability Growth Feasibility Analysis on a Parallel Systems Multiple Phases dataset using the Reliability Growth function.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/Parallel Systems Multiple Phases.jmp");
// Reliability Growth Feasibility
Reliability Growth(
    Input Format( Parallel Systems ),
    Time to Event( :Hours ),
    Event Count( :Fixes ),
    System ID( :System ID ),
    Phase( :Phase )
);

Example 7

Summary: Analyze parallel systems reliability growth using Piecewise Weibull, Distinct Phase Weibull, and Distinct Weibull NHPP models.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/Parallel Systems Multiple Phases.jmp");
// Reliability Growth Models
Reliability Growth(
    Input Format( Parallel Systems ),
    Time to Event( :Hours ),
    Event Count( :Fixes ),
    System ID( :System ID ),
    Phase( :Phase ),
    Piecewise Weibull NHPP with Different Intercepts,
    Distinct Phase Weibull NHPP,
    Distinct Weibull NHPP,
    SendToReport(
        Dispatch( {"Model List"}, "",
            TableBox,
            {Sort By Column( 4, 1 )}
        )
    )
);

Example 8

Summary: Perform reliability growth feasibility analysis on parallel systems data using time to event and event count variables.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/Parallel Systems One Phase.jmp");
// Reliability Growth Feasibility
Reliability Growth(
    Input Format( Parallel Systems ),
    Time to Event( :Hours ),
    Event Count( :Repairs ),
    System ID( :System ID )
);

Example 9

Summary: Analyze reliability growth using weibull NHPP for both distinct and identical systems in parallel systems data.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/Parallel Systems One Phase.jmp");
// Reliability Growth Models
Reliability Growth(
    Input Format( Parallel Systems ),
    Time to Event( :Hours ),
    Event Count( :Repairs ),
    System ID( :System ID ),
    Distinct System Weibull NHPP,
    Identical System Weibull NHPP
);

Example 10

Summary: Perform reliability growth feasibility analysis using parallel systems input format in the Reliability Growth platform.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/Parallel Systems Reinitialized.jmp");
// Reliability Growth Feasibility
Reliability Growth(
    Input Format( Parallel Systems ),
    Time to Event( :Hours ),
    Event Count( :Fixes ),
    System ID( :System ID ),
    Phase( :Phase )
);

Example 11

Summary: Create a reliability growth analysis using various growth models, including Piecewise Weibull NHPP and Distinct Weibull NHPP, on a parallel systems data set, and sort the results by a specific column in the output report.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/Parallel Systems Reinitialized.jmp");
// Reliability Growth Models
Reliability Growth(
    Input Format( Parallel Systems ),
    Time to Event( :Hours ),
    Event Count( :Fixes ),
    System ID( :System ID ),
    Phase( :Phase ),
    Piecewise Weibull NHPP,
    Piecewise Weibull NHPP with Different Intercepts,
    Distinct Phase Weibull NHPP,
    Distinct Weibull NHPP,
    SendToReport(
        Dispatch( {"Model List"}, "",
            TableBox,
            {Sort By Column( 4, 1 )}
        )
    )
);

Example 12

Summary: Analyze reliability growth using phase-specific Weibull NHPP model.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/ProductionEquipment.jmp");
// Reliability Growth
Reliability Growth(
    Input Format( Time to Event ),
    Time to Event( :Hours of Operation ),
    Event Count( :Fixes ),
    Phase( :Design Stage ),
    Reinitialized Weibull NHPP
);

Example 13

Summary: Calculate and analyze the reliability growth of turbine engine designs using a piecewise Weibull non-homogeneous Poisson process model, incorporating both time to event and event count data, and segmented by design phase.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/TurbineEngineDesign1.jmp");
// Reliability Growth
Reliability Growth(
    Input Format( Time to Event ),
    Time to Event( :Day ),
    Event Count( :Fixes ),
    Phase( :Design Phase ),
    Piecewise Weibull NHPP
);

Example 14

Summary: Perform a piece-wise Weibull Non-Homogeneous Poisson Process (NHPP) reliability growth analysis on a turbine engine design dataset.

Code:

// Open data table
dt = Open("$Sample_Data/Reliability/TurbineEngineDesign2.jmp");
// Reliability Growth
Reliability Growth(
    Input Format( Time to Event ),
    Time to Event(
        :Interval Start, :Interval End
    ),
    Event Count( :Fixes ),
    Phase( :Design Phase ),
    Piecewise Weibull NHPP
);