MTA-MA-022 - Revision history

Monica Hurley: Revision 0 Reviewed by Colton Smith

2026-03-26T17:25:01Z

Revision 0 Reviewed by Colton Smith

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 {{DISPLAYTITLE:Improve Online Equipment Condition Monitoring using Electrical Signature Analysis (ESA) - MTA-MA-022}}
 {{MTATemplate||
 | Date |12/15/20
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 | Reference Implementation Guidance |
 Electrical Signature Analysis (ESA) for On-Line Equipment Condition Monitoring (EPRI [https://www.epri.com/research/products/3002017660 3002017660])
 Predictive Maintenance Technologies: An Overview of Motor Current Signature Analysis and Electromagnetic Signature Analysis (EPRI [https://www.epri.com/research/products/3002003913 3002003913])
 | Industry SME |
-EPRI – Michael Taylor
+EPRI – PRR
 Contact: NuclearPlantMod@epri.com
 | Previous Implementation | Please contact EPRI for implementation examples and contacts.
 | Implementation Enablers |
-* MTA-MA-003 – Implement a Wireless Network Infrastructure Using a Distributed Antenna System (DAS)
+* [[MTA-MA-003| MTA-MA-003]] - Implement Wireless Network Infrastructure Using a Distributed Antenna System (DAS)
-* MTA-MA-004 – Implement a Wireless Network Infrastructure Using WiFi
+* [[MTA-MA-004| MTA-MA-004]] – Implement a Wireless Network Infrastructure Using WiFi
 | Applicability | All reactor types
 All geographic regions
@@ Line 43: / Line 37: @@
 * Electromagnetic signature analysis (EMSA)
-ESA is considered an enabling technology for Continuous Online Monitoring (COLM) of motors and motor‑driven equipment (e.g., MTA-MA-002 – Reduce Motor Maintenance Costs Through Online Monitoring, MTA-MA-009 – Reduce Pump Maintenance Costs Through Online Monitoring).
+ESA is considered an enabling technology for Continuous Online Monitoring (COLM) of motors and motor‑driven equipment (e.g., [[MTA-MA-002| MTA-MA-002 – Reduce Motor Maintenance Costs Through Online Monitoring]], [[MTA-MA-009| MTA-MA-009 – Reduce Pump Maintenance Costs Through Online Monitoring]]).
 ==Benefits==
@@ Line 65: / Line 59: @@
 ==Risks==
-A library of fault signatures is not currently available but is under development by EPRI. Tests to support development of a fault library are scheduled for late 2020. ESA can be conducted without a fault library but troubleshooting of the motor will require additional effort. Vendor experience may compensate for the lack of a fault library.
+A library of fault signatures is not currently available but is under development by EPRI. Tests to support development of a fault library are in-progress. ESA can be conducted without a fault library but troubleshooting of the motor will require additional effort. Vendor experience may compensate for the lack of a fault library.

Jacob Sommer: 1 revision imported

2026-03-05T01:37:55Z

1 revision imported

← Older revision	Revision as of 01:37, 5 March 2026
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10.142.237.104: Created page with "{{DISPLAYTITLE:Improve Online Equipment Condition Monitoring using Electrical Signature Analysis (ESA) - MTA-MA-022}} {{MTATemplate|| | Date |12/15/20 | Functional Area Where Benefits Will Be Realized | Maintenance Engineering | Reference Implementation Guidance | Electrical Signature Analysis (ESA) for On-Line Equipment Condition Monitoring (EPRI [https://www.epri.com/research/products/3002017660 3002017660]) Predictive Maintenance Technologies: An Overview of Moto..."

2026-02-26T00:45:45Z

Created page with "{{DISPLAYTITLE:Improve Online Equipment Condition Monitoring using Electrical Signature Analysis (ESA) - MTA-MA-022}} {{MTATemplate|| | Date |12/15/20 | Functional Area Where Benefits Will Be Realized | Maintenance Engineering | Reference Implementation Guidance | Electrical Signature Analysis (ESA) for On-Line Equipment Condition Monitoring (EPRI [https://www.epri.com/research/products/3002017660 3002017660]) Predictive Maintenance Technologies: An Overview of Moto..."

New page

{{DISPLAYTITLE:Improve Online Equipment Condition Monitoring using Electrical Signature Analysis (ESA) - MTA-MA-022}}
{{MTATemplate||
| Date |12/15/20
| Functional Area Where Benefits Will Be Realized | Maintenance
Engineering
| Reference Implementation Guidance |
Electrical Signature Analysis (ESA) for On-Line Equipment Condition Monitoring (EPRI [https://www.epri.com/research/products/3002017660 3002017660])

Predictive Maintenance Technologies: An Overview of Motor Current Signature Analysis and Electromagnetic Signature Analysis (EPRI [https://www.epri.com/research/products/3002003913 3002003913])
| Industry SME |
EPRI – Michael Taylor

EPRI – Steve Lopez

Contact: NuclearPlantMod@epri.com
| Previous Implementation | Please contact EPRI for implementation examples and contacts.
| Implementation Enablers |
* MTA-MA-003 – Implement a Wireless Network Infrastructure Using a Distributed Antenna System (DAS)
* MTA-MA-004 – Implement a Wireless Network Infrastructure Using WiFi
| SWEEP Score |
* Cost – Level 2 – The cost for design, installation, and material of the necessary equipment for ESA is approximately $5 million.
* Savings – Level 0 – Savings are not evaluated because ESA is an enabler.
* Payback – Level 0 – Payback is not evaluated because ESA is an enabler.
* Licensing Readiness – Level 3 – No licensing changes are required for ESA.
* Technology Readiness – Level 2 – The technology is ready for pilot implementation at nuclear plants.
* Implementation Proficiency – Level 3 – ESA can be implemented by all sites regardless of digital experience.
| Applicability | All reactor types
All geographic regions
| Keywords | Electric signature analysis; ESA; motor current signature analysis; MCSA; continuous online monitoring; COLM
| Business Case Analysis Cross-Reference | N/A
}}

==Description==
Downtime of critical motors is a significant contributor to decreased nuclear plant reliability. Providing regular or continuous monitoring of these systems using Electrical Signature Analysis (ESA) can assist in eliminating unnecessary shutdowns through early detection of equipment degradation, avoid unplanned equipment downtime and facilitate planning proper maintenance activities, improving equipment and plant reliability.

ESA uses both the voltage and current measurements, typically acquired from a motor control center (MCC) or switchgear, to identify motor faults such as phase imbalance, power factor, power harmonics, and rotor bar issues.

Techniques employed in an ESA include:
* Motor current signature analysis (MCSA)
* Voltage signature analysis (VSA)
* Instantaneous power signature analysis (IPSA)
* Motor torque analysis (MTA)
* Electromagnetic signature analysis (EMSA)

ESA is considered an enabling technology for Continuous Online Monitoring (COLM) of motors and motor‑driven equipment (e.g., MTA-MA-002 – Reduce Motor Maintenance Costs Through Online Monitoring, MTA-MA-009 – Reduce Pump Maintenance Costs Through Online Monitoring).

==Benefits==
===Benefits Estimate===
Level 0 – Savings are not evaluated because the technology or process improvement is an enabler, which does not inherently produce cost savings but permits implementation of other improvements.

===Benefits Description===
* ESA is better suited to diagnose certain faults (e.g., stator winding faults) than MCSA alone.
* Improved insight into motor health.
* Potential to detect incipient failures before major damage and to avoid forced equipment outages.

==Costs and Schedule==
===Cost===
Level 2 – The cost for design, installation, and material of the necessary equipment for ESA is approximately $5 million.

===Schedule===
One to three years – Installation of measurement equipment on the bus feeding the motor requires de‑energizing the bus. Current experience indicates that instrumentation of one train per refueling outage is realistic.

===Scope Context===
Per unit

==Risks==
A library of fault signatures is not currently available but is under development by EPRI. Tests to support development of a fault library are scheduled for late 2020. ESA can be conducted without a fault library but troubleshooting of the motor will require additional effort. Vendor experience may compensate for the lack of a fault library.