Related Experiment Videos
Bayesian networks: application in safety instrumentation and risk reduction
1Tebodin Consultants & Engineers, P.O. Box 2652, Abu Dhabi, United Arab Emirates. prkannan@tebodinme.ae
ISA Transactions
|March 21, 2007
Summary
This study introduces Bayesian belief networks to model hazard probabilities and track residual risk. This approach accounts for dynamic failure rates in safety instrumented functions, crucial for tolerable risk levels.
Area of Science:
- Risk assessment and safety engineering.
- Probabilistic risk analysis.
- Reliability engineering.
Background:
- Safety Integrity Level (SIL) for Safety Instrumented Functions (SIF) is influenced by component failures (random hardware and systematic).
- Residual risk, the probability of a hazardous event after protection layers, must be tolerable.
- Accurate risk assessment requires understanding hazard demand rates and failure factors.
Purpose of the Study:
- To propose a dynamic model for tracking residual risk probability in the post-design phase.
- To utilize Bayesian belief networks for scenario-based hazard probability modeling.
- To illustrate the application of this model with a practical example.
Main Methods:
- Development of a scenario-based hazard probability model using Bayesian belief networks.
- Integration of dynamic failure rate factors into the risk assessment process.
- Application of the model in the post-design phase for residual risk tracking.
Main Results:
- Demonstrated the capability of Bayesian belief networks to model complex failure scenarios.
- Provided a method for dynamic tracking of residual risk probability.
- Illustrated the practical application and benefits of the proposed model.
Conclusions:
- Bayesian belief networks offer a robust framework for scenario-based hazard probability modeling.
- The proposed method enables dynamic tracking of residual risk, essential for safety assurance.
- This approach enhances the management of safety instrumented functions throughout their lifecycle.
Related Concept Videos
01:11Hazard Rate
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
01:10Propagation of Uncertainty from Systematic Error
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this particular...
01:30Hazard Analysis and Critical Control Points (HACCP)
Hazard Analysis and Critical Control Points (HACCP) is a science-based, preventive system used globally to ensure food safety by identifying, evaluating, and controlling biological, chemical, and physical hazards throughout food production. Originally developed by NASA and the Pillsbury Company for astronaut food, HACCP is now a core component of the Codex Alimentarius.HACCP operates on prerequisite programs—such as Good Manufacturing Practices (GMPs), sanitation procedures, and supplier...
01:14SBAR II: Application of SBAR
SBAR is an effective communication tool used by healthcare professionals to communicate patient information accurately. SBAR stands for Situation, Background, Assessment, and Recommendation. For a better understanding, an example is given below.
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
SBAR Report from a Nurse to a Health Care Provider
S: "Hello, Dr. Smith. This is Jane, RN, from the Med Surg unit. I am calling to tell you about Ms. White in Room 210, who is experiencing increased pain and redness at her incision site. Her recent...
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
01:25Distribution Reliability and Automation
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...