Evaluating Control System Safety and Reliability (ES35)

Length: 2 days
CEU Credits: 1.4
Course Hours: 8:00 a.m. - 4:00 p.m.
(Except Morristown, NJ location classes are 9:00 a.m. - 5:00 p.m. and Columbia, IL location is 8:30 a.m. - 4:30 p.m.)

Description:

This course gives you qualitative and quantitative methods you can use to evaluate the safety and reliability of your control systems from relays to microprocessor-based systems, including sensors and actuators.

You will be able to:

• Apply the rules of probability to quickly approximate safety and reliability
• Develop and apply safety/reliability evaluation checklist
• Conduct a failure modes and effects analysis (FMEA)
• Apply fault trees and reliability block diagrams or Markov models to the evaluation of loop safety and reliability
• Evaluate the diagnostic coverage factor for a control system
• Understand the rules of common-cause strength
• Evaluate and compare the safety and reliability of various system architectures
• Estimate the parameters needed for safety and reliability evaluation
• Evaluate the safety integrity level of safety loop designs as part of an ANSI/ISA84.01-1996 safety life cycle

You will cover:

• Safety and Reliability Evaluation: Purpose and Limitations | Qualitative vs. Quantitative | Benefits
• Rules of Probability: Summation | Addition
• Stress-Strength: Industrial Stressors | Strength Factors/Checklist
• Safety/Reliability Terms: MTTF, MTTR, MTBF | Reliability, Availability | Failure Rate - Bathtub Curve | Failure Modes - Safety, PFDavg
• Failure Modes and Effects Analysis: Objectives/Description | Coverage Factor Calculation
• Fault Tree Analysis: Objectives/Description | AND, OR Gates
• Reliability Block Diagram Analysis: Series Networks | Parallel Networks
• Markov Models: Failure States | Model Building | Model Solving
• Software Safety and Reliability: Complexity | Testability | Vendor Questions
• Fault Tolerance Systems: Redundant Architectures | Common Cause Strength | Diagnostics | Architecture Evaluation
• Safety/Reliability Checklist
• Safety Instrumented Functions: SIL Verification | Evaluation Methods

Classroom/Laboratory Exercises:

• Study a redundant system and develop a Markov model
• Calculate probabilities of failure
• Evaluate the potential reliability of a control system based on design features 
• Given failure rate data, solve the Markov model for probability of failure on demand (PFD), a measure of safety and mean time to failure (MTTF), and measure of system success
• Given failure rate data, evaluate the SIL of a safety instrumented function using a combination of techniques
  

Students should bring a calculator capable of scientific notation or a laptop computer

Includes ISA Text: Control System Safety Evaluation & Reliability, 2nd Edition

If you wish to register offline, download the Training Registration Form, complete, and return to ISA with your payment.

Not sure this particular course is for you?
A pre-instructional survey is available for you to evaluate your level of understanding of the course material, and to show you the types of questions you'll be able to answer after completing the course.