RGA Data Types

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New format available! This reference is now available in a new format that offers faster page load, improved display for calculations and images, more targeted search and the latest content available as a PDF. As of September 2023, this Reliawiki page will not continue to be updated. Please update all links and bookmarks to the latest reference at help.reliasoft.com/reference/reliability_growth_and_repairable_system_analysis

Chapter 3: RGA Data Types


RGAbox.png

Chapter 3  
RGA Data Types  

Synthesis-icon.png

Available Software:
RGA

Examples icon.png

More Resources:
RGA examples


Data Types

Introduction

Reliability growth analysis can be conducted using different data types. The following data types can be utilized in the RGA software, as shown in the Data Type Expert in Figures DataTypeExpert and DataTypeExpert1:

  1. Developmental Testing (Reliability Growth Data)
    1. Time-to-Failure Data
      1. Failure Times
      2. Grouped Failure Times
      3. Multiple Systems (Known Operating Times)
      4. Multiple Systems (Concurrent Operating Times)
      5. Multiple Systems with Dates
      6. Multiple Systems with Event Codes
    2. Discrete Data
      1. Sequential
      2. Sequential with Mode
      3. Grouped per Configuration
      4. Mixed Data
    3. Multi-Phase Data
      1. Failure Times
      2. Grouped Failure Times
      3. Mixed Data
    4. Reliability Data
  2. Fielded Systems
    1. Repairable
    2. Fleet

This chapter explores and examines these possible data schemes and outlines the available models for each data type.

Data Type Expert for Developmental Data


Data Type Expert for Fielded Data


New format available! This reference is now available in a new format that offers faster page load, improved display for calculations and images, more targeted search and the latest content available as a PDF. As of September 2023, this Reliawiki page will not continue to be updated. Please update all links and bookmarks to the latest reference at help.reliasoft.com/reference/reliability_growth_and_repairable_system_analysis

Chapter 3: RGA Data Types


RGAbox.png

Chapter 3  
RGA Data Types  

Synthesis-icon.png

Available Software:
RGA

Examples icon.png

More Resources:
RGA examples


Data Types

Introduction

Reliability growth analysis can be conducted using different data types. The following data types can be utilized in the RGA software, as shown in the Data Type Expert in Figures DataTypeExpert and DataTypeExpert1:

  1. Developmental Testing (Reliability Growth Data)
    1. Time-to-Failure Data
      1. Failure Times
      2. Grouped Failure Times
      3. Multiple Systems (Known Operating Times)
      4. Multiple Systems (Concurrent Operating Times)
      5. Multiple Systems with Dates
      6. Multiple Systems with Event Codes
    2. Discrete Data
      1. Sequential
      2. Sequential with Mode
      3. Grouped per Configuration
      4. Mixed Data
    3. Multi-Phase Data
      1. Failure Times
      2. Grouped Failure Times
      3. Mixed Data
    4. Reliability Data
  2. Fielded Systems
    1. Repairable
    2. Fleet

This chapter explores and examines these possible data schemes and outlines the available models for each data type.

Data Type Expert for Developmental Data


Data Type Expert for Fielded Data


Template loop detected: Template:Developmental testing data types

Fielded Systems


Fielded systems are systems that are used by customers in the field and for which failure information is not derived from an in-house test. This type of data is analogous to warranty data. The data types available for fielded systems data entry are:

• Repairable Systems
• Fleet
Template loop detected: Template:Repairable systems

Fleet


This data type is used to analyze the entire population (fleet). The data entry for this data type is similar to the data entry for repairable systems; however, the overall data analysis is again different. In repairable systems, the reliability of a single system can be tracked and quantified, whereas in a fleet analysis, data from the entire fleet as a whole is analyzed. Figure Fleetpic presents an example of data entered for fleet analysis.

Models for Fleet Data


The following models can be used to analyze fleet data. Models and examples using different data types are discussed in later chapters.


1) Crow-AMSAA (NHPP) (Chapter 5)
2) Crow Extended (Chapter 9)

[math]\displaystyle{ }[/math]

Fleet systems data.

Fielded Systems


Fielded systems are systems that are used by customers in the field and for which failure information is not derived from an in-house test. This type of data is analogous to warranty data. The data types available for fielded systems data entry are:

• Repairable Systems
• Fleet

New format available! This reference is now available in a new format that offers faster page load, improved display for calculations and images, more targeted search and the latest content available as a PDF. As of September 2023, this Reliawiki page will not continue to be updated. Please update all links and bookmarks to the latest reference at help.reliasoft.com/reference/reliability_growth_and_repairable_system_analysis

Chapter 3: RGA Data Types


RGAbox.png

Chapter 3  
RGA Data Types  

Synthesis-icon.png

Available Software:
RGA

Examples icon.png

More Resources:
RGA examples


Data Types

Introduction

Reliability growth analysis can be conducted using different data types. The following data types can be utilized in the RGA software, as shown in the Data Type Expert in Figures DataTypeExpert and DataTypeExpert1:

  1. Developmental Testing (Reliability Growth Data)
    1. Time-to-Failure Data
      1. Failure Times
      2. Grouped Failure Times
      3. Multiple Systems (Known Operating Times)
      4. Multiple Systems (Concurrent Operating Times)
      5. Multiple Systems with Dates
      6. Multiple Systems with Event Codes
    2. Discrete Data
      1. Sequential
      2. Sequential with Mode
      3. Grouped per Configuration
      4. Mixed Data
    3. Multi-Phase Data
      1. Failure Times
      2. Grouped Failure Times
      3. Mixed Data
    4. Reliability Data
  2. Fielded Systems
    1. Repairable
    2. Fleet

This chapter explores and examines these possible data schemes and outlines the available models for each data type.

Data Type Expert for Developmental Data


Data Type Expert for Fielded Data


Template loop detected: Template:Developmental testing data types

Fielded Systems


Fielded systems are systems that are used by customers in the field and for which failure information is not derived from an in-house test. This type of data is analogous to warranty data. The data types available for fielded systems data entry are:

• Repairable Systems
• Fleet
Template loop detected: Template:Repairable systems

Fleet


This data type is used to analyze the entire population (fleet). The data entry for this data type is similar to the data entry for repairable systems; however, the overall data analysis is again different. In repairable systems, the reliability of a single system can be tracked and quantified, whereas in a fleet analysis, data from the entire fleet as a whole is analyzed. Figure Fleetpic presents an example of data entered for fleet analysis.

Models for Fleet Data


The following models can be used to analyze fleet data. Models and examples using different data types are discussed in later chapters.


1) Crow-AMSAA (NHPP) (Chapter 5)
2) Crow Extended (Chapter 9)

[math]\displaystyle{ }[/math]

Fleet systems data.

Fleet


This data type is used to analyze the entire population (fleet). The data entry for this data type is similar to the data entry for repairable systems; however, the overall data analysis is again different. In repairable systems, the reliability of a single system can be tracked and quantified, whereas in a fleet analysis, data from the entire fleet as a whole is analyzed. Figure Fleetpic presents an example of data entered for fleet analysis.

Models for Fleet Data


The following models can be used to analyze fleet data. Models and examples using different data types are discussed in later chapters.


1) Crow-AMSAA (NHPP) (Chapter 5)
2) Crow Extended (Chapter 9)

[math]\displaystyle{ }[/math]

Fleet systems data.