Guidelines for Improving Plant Reliability Through Data Collection and Analysis [Hardcover]

Written by reliability data experts, the book gives plant managers and supervisors the guidance they need to collect, and use with confidence, process equipment reliability data for risk-based decisions. Focusing on the process industries, it provides the protocol and techniques to collect and organize high quality plant performance, maintenance, and repair data from your own operations, and includes methods and examples on how the data can be converted into useful information for engineering, maintenance, safety, and loss prevention. This data can be used for: facility reliability/availability assessments; making decisions on the need for redundant systems; improving equipment designs; selecting the best equipment for specific tasks; estimating required work force; benchmarking current efforts both frequency and time; integrating predictive and preventive maintenance effort; integrating shutdowns with production needs; quantifying risks; and minimizing human reliability issues.Preface.

Acknowledgments.

Chapter 1. Introduction.

1.1. Background.

1.2. Taxonomy.

1.3. Data Aggregation/Sharing.

Chapter 2. Definitions.

2.1. Introduction.

2.2. Discussion of Key Reliability Terms.

2.3. Glossary of Terms.

Chapter 3. Method of Analysis.

3.1. Introduction.

3.2. Basic Concepts of Data Analysis.

3.2.1. Failure Data.

3.2.2. Need for Correct Failure Modes.

3.2.3. Types of Systems-Repairable or Nonrepairable.

3.2.4. Reliability versus Availability.

3.2.5. Types of Data-Censoring.

3.2.6. Definitions.

3.2.7. Dealing with Censored Data.

3.2.8. Common Cause Failures.

3.2.9. Predictive versus Descriptivel³Ü