ML19092A464

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T2 the Application of HRA Data in HRA Quantification Methodology IDHEAS-ECA
ML19092A464
Person / Time
Issue date: 03/14/2019
From: Song-Hua Shen
NRC/RES/DRA/HFRB
To:
J. Chang 415-2378
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ML19092A461 List:
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Download: ML19092A464 (33)


Text

The Application of HRA data in IDHEAS-ECA Song-Hua Shen

Improvement of Current HRA Methodology The HEP of Manually Tripping Reactor in 90 seconds during ATWAS:

  • 1 : All Instruments work correctly, but Rx breakers not automatically tripped.
  • 2 : S/G Low-Low Level signal generated, but Reactor Trip signal failed.
  • 3 : S/G Low-Low Level signal failed.

Improvement of Current HRA Methodology During Loss of Main Feed Accident:

  • 1 : Operators failed to manually initiate AFW.
  • 2 : Operators failed to perform Feed &

Bleed.

IDHEAS-ECA

  • is the error probability due to time uncertainty for a human failure event.
  • is the error probability due to failures of macro-cognitive functions given the time for performing the required action is sufficient.

IDHEAS-ECA

= + 1

ln

= 1 Probability Density Time Required Time Available Average Required Time Time

Psychological Context Factors Factors Performance Influence Factors (PIFs)

Human Error Probability (HEP)

  • PIFs Classified: Task Nature Factors and Multipliers
  • PIFs developed according to SPAR-H and PRA Standard.
  • Local PIFs applied to CFMs: Complexity, HMI, Procedures,

Task Nature Factors Information Detection Information Information Detection Mechanism Locations Quality Diagnosis Diagnosis Diagnosis Mode Type Decision Decision Decision Consequence Mode Type Action Action Action Type Location

Detection Locations Quality BHEP mechanism Complete 1.00E-06 MCR Incomplete 1.00E-03 Indirectly 1.00E-02 Complete 5.00E-06 Passive Local Incomplete 5.00E-03 detection Indirectly 5.00E-02 Complete 1.00E-04 Protected Incomplete 1.00E-02 Area Indirectly 1.00E-01

Decision Mode Decision Type Consequence BHEP Single Choice 0 Low Consequence 1.00E-05 Skill-Based High 1.00E-03 Consequence Low Consequence 1.00E-05 Multiple Chioces Rule-Based High 1.00E-03 Consequence Low Consequence 1.00E-04 Knowledge-Based High 1.00E-02 Consequence

Values and Multipliers for Information Detection PIFs Multipliers Experience/Training 1 - 10 Communication 1 - 10 Environment 1 - 10 HMI 1 - 10 Complexity 1-5 Stress 1-5 Work Load 1 - 10

Data Applied for IDHEAS-ECA

  • Update the BHEPs from data
  • Update the multipliers from data
  • Add more PIFs if they are important and not in current IDHEAS-ECA model.

BHEP Update Data Without Any Negative PIFs Macro Cognitive Unsat. Demands Detection (Alarm) 0 2 Detection (Meter) 0 0 Diagnosis 0 46 Decision 0 194 Action 0 143

Results from Data Alarm - Detection Mode Detection Mode UnSat Demand HEP Ratio Procedure Directed Check 3 1290 2.71E-03 1.0 KB-Driven Monitoring 0 37 1.35E-02 5.0 Procedure Directed 0 0 NA NA Monitoring Awareness/Inspection 5 148 3.72E-02 13.7

Meter - Type Type UnSat Demand HEP Ratio Meter 7 378 1.98E-02 1.0 Indication 2 312 8.01E-03 0.4 Light Computer 3 747 4.69E-03 0.2 Other 1 148 1.01E-02 0.5

Meter - Detection Mode Detection Mode UnSat Demand HEP Ratio Procedure Directed Check 3 607 5.77E-03 1.0 KB-Driven Monitoring 10 966 1.09E-02 1.9 Procedure Directed 1 90 1.67E-02 2.9 Monitoring Awareness/Inspection 3 573 6.11E-03 1.1

Decision - Outcome Outcome UnSat Demand HEP Ratio Simple and 1.0 Distinct 23 4113 5.71E-03 Order 6.4 1 41 3.66E-02 Maintaining 0.8 0 109 4.59E-03

Decision - Basis Basis UnSat Demand HEP Ratio Standard 1.0 15 2757 5.62E-03 Adaptation 1.0 Required 0 88 5.68E-03 Anomaly 1.1 9 1546 6.14E-03

Decision - Uncertainty Uncertainty UnSat Demand HEP Ratio Procedure-Based 7 2394 3.13E-03 1.0 Activity Skill-Based Behavior 9 1089 8.72E-03 2.8 Knowledge-Based 8 732 1.16E-02 3.7 Behavior

Diagnosis - Basis Basis UnSat Demand HEP Ratio Procedure 22 1277 1.76E-02 1.0 Skill 1 79 1.90E-02 1.1 Knowledge 3 662 5.29E-03 0.3

Diagnosis - Familiarity Familiarity UnSat Demand HEP Ratio Standard 12 1357 9.21E-03 1.0 Novel 6 579 1.12E-02 1.2 Anomaly 8 69 1.23E-01 13.4

Action - Recoverability Recoverability UnSat Demand HEP Ratio Immediately Recoverable 24 1708 1.43E-02 1.0 Recoverable With Significant 11 1383 8.32E-03 0.6 Efforts Unrecoverable 18 840 2.20E-02 1.5

Action - Type Type UnSat Demand HEP Ratio Simple and 19 1617 1.21E-02 1.0 Distinct Order 20 1484 1.38E-02 1.1 Maintaining 10 597 1.76E-02 1.5

Action - Location Location UnSat Demand HEP Ratio Main or Auxiliary 48 3849 1.26E-02 1.0 Control Board Back Control Panels 5 97 5.67E-02 4.5

Time Criticality Expansive Nominal Time Barely Time Adequate Time Alarm HEP 5.21E-03 7.51E-03 4.46E-03 Ratio 1.0 1.4 0.9 Meter HEP 3.39E-03 8.37E-03 3.52E-02 Ratio 1.0 2.5 10.4 Diagnosis HEP 7.13E-03 1.69E-02 8.88E-03 Ratio 1.0 2.4 1.2 Decision HEP 5.08E-03 6.53E-03 1.47E-03 Ratio 1.0 1.3 0.3 Action HEP 9.60E-03 1.44E-02 1.84E-02 Ratio 1.0 1.5 1.9

Workload Concurrent Multiple Normal Demands Concurrent HEP 2.58E-03 8.82E-03 1.72E-02 Alarm Ratio 1.0 3.4 6.7 HEP 4.76E-03 7.33E-03 3.44E-02 Meter Ratio 1.0 1.5 7.2 HEP 1.52E-02 1.12E-02 3.78E-02 Diagnosis Ratio 1.0 0.7 2.5 HEP 3.25E-03 6.56E-03 7.25E-03 Decision Ratio 1.0 2.0 2.2 HEP 1.23E-02 1.05E-02 2.50E-02 Action Ratio 1.0 0.9 2.0

Conclusions

  • Time Criticality has a strong impact for Meter Data Collection, but not for others.
  • Workload may impact all Cognitive Mechanisms.
  • Location is important for Action.
  • Alarm Detection is sensitive to the Modes
  • Skill-, Rule-, Knowledge-Behaviors may impact Decision.

Questions and Discusions Additional Slides Action

  1. of Demands PIFs Status 1 Status 2 UnintutivePlantResponse 3917 29 UnintutiveControls 3922 24 AditionalMentalEffortRequired 3812 134 InadequateFeedback 3934 12 SimilarControls 3946 0 NonStandard 3590 356 NoisyBackground 3946 0 Coordination 3946 0 CommunicatorUnavailable 3933 13 MultipleDemand 3437 509 MemoryDemand 3798 148

Action - Extend of Communication Extend of Communication UnSat Demand HEP Ratio Nominal Communication 47 3437 1.38E-02 1.0 Extensive Onsite 6 509 1.28E-02 0.9 Communication