Calibration Interval Analysis Class Agenda from Integrated Sciences Group

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Training Calibration Interval Analysis Course Outline

Calibration Interval Analysis Concepts and Methods

Course Outline

This outline is for a two-day course of instruction presented by Integrated Sciences Group. This course covers calibration interval analysis concepts and methods. Students will be introduced to risk analysis concepts, measurement reliability modeling methods, statistical interval analysis techniques, calibration interval objectives and potential ancillary interval analysis benefits such as equipment outlier identification. Click class schedule for our current open-enrollment training locations and dates.

Course Objectives

This course provides a conceptual background in calibration interval analysis. After completion of the course, students will know:

the consequences of false accept and false reject risk

the factors affecting risk

the methods of controlling risk

how to establish appropriate reliability targets

the criteria for establishing optimal intervals

the key elements for establishing an interval analysis program

the methods available for establishing intervals

the guidelines for selecting an appropriate analysis method

the options for adjusting intervals for measurement systems

the data requirements for conducting interval analysis and management

Part 1 - Basic Concepts

Part 1 covers basic concepts for an understanding of measurement decision risk and interval analysis.

Measurement Decision Risk

False Accept and False Reject Definitions
Risk Consequences
Factors Affecting Risks

Controlling Risks

Periodic Calibration
The Goal of Interval Analysis

Optimal Intervals

Reliability Targets
Cost-Effectiveness
System Responsiveness
Spinoffs

Programs Elements

Data Collection and Storage
Data Analysis
Engineering Review
Logistics Concerns
Cost / Benefit Assessment
Personnel Requirements
Training and Communications

Diversity of Methods

General Interval
Borrowed Intervals
Engineering Analysis
Reactive Methods
Maximum Likelihood Estimation (MLE)

Part 2 - Administrative Issues

Part 2 discusses analysis alternatives, selection criteria, analysis grouping schemes and potential interval analysis benefits.

Methodology Selection

Selection Criteria
General Interval
Borrowed Intervals
Engineering Analysis
Reactive Methods
MLE Methods

Interval Adjustments Alternatives

Serial Number
Manufacturer / Model Number
Similar Equipment Group
Instrument Class
Equipment Parameter
System Intervals

Interval Analysis Products

Exported Intervals
Interval Analysis Reports
Browsers and Other Useful Tools
Cost / Workload Analysis

Part 3 - Interval Analysis Methods

Part 3 describes interval analysis methodologies and provides analysis examples demonstrating these methodologies.

General Intervals

Reliability Oriented Approach
Program Criterion Approach

Borrowed Intervals

Identifying "Similar" Organizations
Cross-Referencing Groupings
Implementation

Engineering Analysis

Physical Evaluation of Equipment
Identifying Similar Equipment
Using Manufacturer Information
A Bayesian Approach

Reactive Methods

Method A1 - Simple Algorithm Method
Method A2 - Adjustable Interval Increments Method
Method A3 - Statistical Test Method

MLE Attributes Data Analysis

Method S1 - Classical Method
Method S2 - Binomial Method
Method S3 - Renewal Tem Method
Method S4 - Linear Models Method

MLE Variables Data Analysis

Parameter Calibration Intervals
Special Topics

Part 4 - Interval Analysis Software Demonstrations

Part 4 includes demonstrations of available interval analysis software, including previews of upcoming products.

Training Materials
Course books and other related documents will be provided.