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Related Concept Videos

Open and closed-loop control systems01:17

Open and closed-loop control systems

Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...
Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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Related Experiment Videos

The relationship between automation complexity and operator error.

Russell A Ogle1, Delmar Trey Morrison, Andrew R Carpenter

  • 1Exponent, Inc., 185 Hansen Court, Suite 100, Wood Dale, IL 60134, United States. rogle@exponent.com

Journal of Hazardous Materials
|March 11, 2008
PubMed
Summary
This summary is machine-generated.

Process automation can introduce new operator errors, leading to severe accidents. This study examines six explosions caused by operator error in automated facilities, highlighting how error types vary with automation complexity.

Related Experiment Videos

Area of Science:

  • Process Safety Engineering
  • Industrial Automation
  • Accident Analysis

Background:

  • Process automation aims to enhance plant safety by reducing human error.
  • Concerns exist that automation may introduce novel types of operator errors.
  • Previous research has not fully explored the relationship between automation complexity and operator error in accidents.

Purpose of the Study:

  • To investigate the role of operator error in explosions within automated process facilities.
  • To analyze how automation complexity influences the nature of operator errors.
  • To evaluate the effectiveness of existing engineering controls in preventing or mitigating such accidents.

Main Methods:

  • Analysis of six case studies of explosions involving operator error.
  • Categorization of case studies into low and high automation complexity.
  • Examination of the contribution and limitations of safety instrumented systems (SIS) and safety critical devices (SCD).

Main Results:

  • Operator errors were identified as the cause of six fatal explosions, resulting in 30 injuries and significant property damage.
  • The nature of operator errors differed significantly between low and high automation complexity scenarios.
  • Existing engineering controls were insufficient to prevent or mitigate the severity of these explosions.

Conclusions:

  • Automation does not eliminate operator error but can transform its nature, particularly with increasing complexity.
  • Safety instrumented systems and safety critical devices require careful design and implementation to address automation-induced errors.
  • Further research is needed to develop strategies for managing operator error in complex automated systems.