RGA Data Types: Difference between revisions
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{{template:RGA BOOK|2|Data Types}} | {{template:RGA BOOK|2|Data Types}} | ||
Reliability growth analysis can be conducted using different data types. This chapter explores and examines the possible data schemes and outlines the available models for each data type. The data types for developmental testing (traditional reliability growth analysis) will be discussed first. Then we will discuss the data types that support the use of RGA models for analyzing fielded systems. | Reliability growth analysis can be conducted using different data types. This chapter explores and examines the possible data schemes and outlines the available models for each data type. The data types for [[RGA_Data_Types#Developmental_Testing_Data_Types|developmental testing]] (traditional reliability growth analysis) will be discussed first. Then we will discuss the data types that support the use of RGA models for analyzing fielded systems. | ||
==Developmental Testing Data Types== | ==Developmental Testing Data Types== | ||
Revision as of 07:26, 23 August 2012
Reliability growth analysis can be conducted using different data types. This chapter explores and examines the possible data schemes and outlines the available models for each data type. The data types for developmental testing (traditional reliability growth analysis) will be discussed first. Then we will discuss the data types that support the use of RGA models for analyzing fielded systems.
Developmental Testing Data Types
Reliability growth analysis can be conducted using different data types. This chapter explores and examines the possible data schemes and outlines the available models for each data type. The data types for developmental testing (traditional reliability growth analysis) will be discussed first. Then we will discuss the data types that support the use of RGA models for analyzing fielded systems.
Developmental Testing Data Types
Template loop detected: Template:Time-to-failure data
Template loop detected: Template:Discrete data
Template loop detected: Template:Multi-phase data
Template loop detected: Template:Reliability 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
Template loop detected: Template:Repairable systems
Fleet Data
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. The figure below 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.
- Crow-AMSAA (NHPP)
- Crow Extended
<INSERT PIC>
Reliability growth analysis can be conducted using different data types. This chapter explores and examines the possible data schemes and outlines the available models for each data type. The data types for developmental testing (traditional reliability growth analysis) will be discussed first. Then we will discuss the data types that support the use of RGA models for analyzing fielded systems.
Developmental Testing Data Types
Template loop detected: Template:Time-to-failure data
Template loop detected: Template:Discrete data
Template loop detected: Template:Multi-phase data
Template loop detected: Template:Reliability 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
Template loop detected: Template:Repairable systems
Fleet Data
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. The figure below 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.
- Crow-AMSAA (NHPP)
- Crow Extended
<INSERT PIC>
Reliability growth analysis can be conducted using different data types. This chapter explores and examines the possible data schemes and outlines the available models for each data type. The data types for developmental testing (traditional reliability growth analysis) will be discussed first. Then we will discuss the data types that support the use of RGA models for analyzing fielded systems.
Developmental Testing Data Types
Template loop detected: Template:Time-to-failure data
Template loop detected: Template:Discrete data
Template loop detected: Template:Multi-phase data
Template loop detected: Template:Reliability 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
Template loop detected: Template:Repairable systems
Fleet Data
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. The figure below 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.
- Crow-AMSAA (NHPP)
- Crow Extended
<INSERT PIC>
Reliability growth analysis can be conducted using different data types. This chapter explores and examines the possible data schemes and outlines the available models for each data type. The data types for developmental testing (traditional reliability growth analysis) will be discussed first. Then we will discuss the data types that support the use of RGA models for analyzing fielded systems.
Developmental Testing Data Types
Template loop detected: Template:Time-to-failure data
Template loop detected: Template:Discrete data
Template loop detected: Template:Multi-phase data
Template loop detected: Template:Reliability 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
Template loop detected: Template:Repairable systems
Fleet Data
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. The figure below 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.
- Crow-AMSAA (NHPP)
- Crow Extended
<INSERT PIC>
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
Reliability growth analysis can be conducted using different data types. This chapter explores and examines the possible data schemes and outlines the available models for each data type. The data types for developmental testing (traditional reliability growth analysis) will be discussed first. Then we will discuss the data types that support the use of RGA models for analyzing fielded systems.
Developmental Testing Data Types
Template loop detected: Template:Time-to-failure data
Template loop detected: Template:Discrete data
Template loop detected: Template:Multi-phase data
Template loop detected: Template:Reliability 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
Template loop detected: Template:Repairable systems
Fleet Data
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. The figure below 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.
- Crow-AMSAA (NHPP)
- Crow Extended
<INSERT PIC>
Fleet Data
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. The figure below 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.
- Crow-AMSAA (NHPP)
- Crow Extended
<INSERT PIC>