ML21096A182

Item 4 & 6 on IDHEAS-ECA and SACADA by J Chang - 2021-04-08 Public Meeting

ML21096A182
Person / Time
Issue date:	04/08/2021
From:	Chang Y, Dejesus-Segarra J, Jing Xing NRC/RES/DRA/HFRB
To:
Xing, Jang - 301 415 2410
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ML21096A176	List: ML21096A180 ML21096A181 ML21096A182 ML21096A183
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Download: ML21096A182 (19)

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IDHEAS-ECA Jing Xing, Y. James Chang, Jonathan DeJesus Segarra, U.S. Nuclear Regulatory Commission Presented by Y. James Chang to the public meeting on IDHEAS April-08-2021

IDHEAS-ECA

• Developed based on IDHEAS-G for event condition assessments of the significance determination process

• Applicable to all NRCs risk-informed applications, including FLEX actions

• Has a software tool to calculate HEPs

• Data basis is documented in IDHEAS-DATA 2

From IDHEAS-G to IDHEAS-ECA IDHEAS-G IDHEAS-ECA Qualitative analysis guidance Same Cognitive Failure Mode (CFM):

5 categories Each category has three levels of detail Only use the top level - 5 CFMs Performance Influencing Factors (PIF):

20 PIFs Each PIF has multiple attributes (PIF Attribute)

- Keep all PIFs and attributes

- Combine some PIFs and attributes Estimate Human Error Probabilities (HEP):

3 approaches to estimate HEPs HEP quantification model 3

HEP Quantification Model CFM 1 Critical task 1 CFM 2 CFM 4 PIF attributes PIF attributes Critical task 2 Critical task 3

CFM 3 CFMs CFMs

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Time required

Time available HEP HEP

=

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4 Pc is the probabilistic sum of its Critical Tasks HEP.

A Critical Tasks HEP is the probabilistic sum of its CFMs HEPs.

Calculate a CFMs HEP

• A CFMs HEP is a function of its PIF Attributes and recovery factor

• A PIF has one of two types of effect on HEPs and inherited by its attributes

- Provide base HEP

- Provide weights (W) to modify the base HEP

• Each PIF Attribute has a value for base HEP or weight (W)

• Where N is the number of the CFMs PIF Attributes with base HEP effects M is the number of the CFMs PIF Attributes with HEP modifier effects A minimum base is applied when there is no base PIF for a CFM, 5

=

=1 1 + 1

=1

1

IDHEAS-ECA Software Demo 6

SACADA (Scenario Authoring, Characterization and Debriefing Application)

Y. James Chang, Lawrence Criscione U.S. Nuclear Regulatory Commission Presented by Y. James Chang in the public meeting on IDHEAS April-08-2021

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Background===

Was developed with STPNOC to

- Improve operator simulator training

- provide human reliability data A software tool for plant instructors to develop simulation scenarios, debrief crew performance, and generate reports Benefits for simulator training

- ACAD Objective 3.2 - Managers are engaged in training activities through monitoring and oversight to provide feedback and direction

- ACAD Objective 3.3 - Personnel performance and feedback during training are used to evaluate and modify training programs

- Reduce workload in developing new scenarios Provide human reliability data for IDHEAS development Now in Revision 2, for simulator training and Job Performance Measures 3

Author Simulation Scenarios

2. Malfunction

3. Element

4. Characterize Context

5. Collect Time Data

6. Generate debrief scenarios

1. Scenario

Debriefing Screen

Debrief Crew Performance

1. Comment field

2. INPO Taxonomy

3. NRC Taxonomy

INPOs Operator Fundamentals -

Teamwork Issues

Debriefing 27

Crew Performance Report (1/2)

Crew Performance Report (2/2)

Generate Reports

Human Reliability Data (Human Centered, Context-Similarity Based)

Job Performance Measures

Become SACADA Users

• The NRC welcomes nuclear power plants to use SACADA

• Contacts:

- Y. James Chang (James.Chang@nrc.gov)

- Sean Peters (Sean.Peters@nrc.gov) 19