Paper Citation Record · LEDGER

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage

As of 13 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2411.14618.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.14618 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:10:51.710353Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

33 of 33 outbound references displayed

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verified fuzzy31
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 52419e2c-7c76-4384-83d9-bbe8a161d8af · outbound

This paper cites The new role of sustainable hydropower in flexible energy systems and its technical evolution through innovation and digitalization,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage The new role of sustainable hydropower in flexible energy systems and its technical evolution through innovation and digitalization,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:52.207028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c9e8b040-10be-4116-a735-6a37e873d88d · outbound

This paper cites Effect of transients on Fran- cis turbine runner life: a review,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Effect of transients on Fran- cis turbine runner life: a review,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:52.193918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9058e48c-f140-4dc3-a462-1bfd55eed68d · outbound

This paper cites A review on fatigue damage mechanism in hydro turbines,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage A review on fatigue damage mechanism in hydro turbines,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:52.181066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb83ae18-3f21-4227-975f-aa37068cfeeb · outbound

This paper cites Analysis of the part load helical vortex rope of a Francis turbine using on-board sensors,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Analysis of the part load helical vortex rope of a Francis turbine using on-board sensors,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:52.168589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 78e4722a-0e22-4564-9b2a-c83837a9a362 · outbound

This paper cites Swirl number based transposition of flow-induced me- 24 chanical stresses from reduced scale to full-size Francis turbine runners,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Swirl number based transposition of flow-induced me- 24 chanical stresses from reduced scale to full-size Francis turbine runners,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:52.155022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d905bbdb-ec66-4860-b767-5c030db4250b · outbound

This paper cites Rainflow-counting matrix interpolation over different operating condi- tions for hydroelectric turbine fatigue assessment,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Rainflow-counting matrix interpolation over different operating condi- tions for hydroelectric turbine fatigue assessment,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:52.143192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6b1bb557-1251-4113-8b6b-a588f5be069d · outbound

This paper cites Transient CFD simula- tion of a Francis turbine startup,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Transient CFD simula- tion of a Francis turbine startup,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:52.130440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c286e2d8-7940-45ae-ae76-d2fc00bea1ba · outbound

This paper cites On the stochastic simulation of hydroelectric turbine blades transient response,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage On the stochastic simulation of hydroelectric turbine blades transient response,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:52.116083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f01f9b9d-cf8b-42dc-b567-232d5dfe697d · outbound

This paper cites Fluid-structure simulations of the stochastic behaviour of a medium head Francis turbine during startup,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Fluid-structure simulations of the stochastic behaviour of a medium head Francis turbine during startup,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:52.102969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8c988228-9148-44d5-8261-1807b79d9003 · outbound

This paper cites Impact of startup scheme on Francis runner life expectancy,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Impact of startup scheme on Francis runner life expectancy,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:52.089104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0908593e-6d49-4b7b-be01-4a03c1e70a82 · outbound

This paper cites Start and stop costs for hydro power plants: a critical literature re- view,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Start and stop costs for hydro power plants: a critical literature re- view,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:52.076299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3fed1728-f57d-4b7d-a7af-816d9c936c7e · outbound

This paper cites Cracking of Francis runners during transient operation,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Cracking of Francis runners during transient operation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:52.062475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 73ae861e-a736-45d8-abcd-bc93faa91bc7 · outbound

This paper cites Hydro unit start-up costs and their impact on the short term scheduling strategies of Swedish power producers,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Hydro unit start-up costs and their impact on the short term scheduling strategies of Swedish power producers,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:52.050393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a4aede87-deb5-4b2e-a7a0-2964a69e9f49 · outbound

This paper cites On the expected monetary value of hydroelectric turbine start-up protocol optimisation,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage On the expected monetary value of hydroelectric turbine start-up protocol optimisation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:52.038006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ba063bf1-3c4b-4768-9bb4-fa8960cb06ee · outbound

This paper cites Optimization of francis turbine start up procedure in order to extend runner lifetime,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Optimization of francis turbine start up procedure in order to extend runner lifetime,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:52.020662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ece6b93f-fe3c-488b-99af-2c02870896d0 · outbound

This paper cites Measurement of dynamic stress and optimized start-up method for prototype Francis turbine,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Measurement of dynamic stress and optimized start-up method for prototype Francis turbine,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:52.007709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ad6dbb37-0330-409f-a707-2cacea346397 · outbound

This paper cites IEC 61362:2024 - Guide- lines to specification of hydraulic turbine governing systems,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage IEC 61362:2024 - Guide- lines to specification of hydraulic turbine governing systems,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:51.993704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 05682a22-7b48-4d62-ac69-c9be3fe30c2f · outbound

This paper cites On the pre- diction of the induced damage by the start-up sequence of Francis turbines: On operational resilience framework,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage On the pre- diction of the induced damage by the start-up sequence of Francis turbines: On operational resilience framework,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:51.978871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b3b8b838-5e0b-4151-88e9-d4ae8517d766 · outbound

This paper cites Fa- tigue damage reduction in hydropower startups with machine learning,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Fa- tigue damage reduction in hydropower startups with machine learning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:51.966245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1d547cac-2a31-448b-9e71-478f8bc512a7 · outbound

This paper cites Experi- mental and numerical study of a prototype Francis turbine startup,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Experi- mental and numerical study of a prototype Francis turbine startup,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:51.953447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7001f59b-1017-4060-914b-61d86a3b178b · outbound

This paper cites Optimization of turbine start-up sequence of a full size fre- quency converter variable speed pump-turbine,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Optimization of turbine start-up sequence of a full size fre- quency converter variable speed pump-turbine,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:51.936526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5ab19624-6e0f-465f-9714-f51eed7063e4 · outbound

This paper cites Optimization of turbine startup: Some experimental results from a propeller runner,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Optimization of turbine startup: Some experimental results from a propeller runner,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:51.922405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8c5056bf-7609-42f1-9557-0be3e29ac624 · outbound

This paper cites A look at Francis runner blades response during transients,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage A look at Francis runner blades response during transients,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:51.909271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9712bebd-3e6a-4fd8-ad8e-c4b731f24732 · outbound

This paper cites Virtual sensors for indirect strain measurement during Francis turbine startup,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Virtual sensors for indirect strain measurement during Francis turbine startup,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:51.896651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d48be66b-42ea-415c-8601-56b170487f54 · outbound

This paper cites Response spectra and expected fatigue reliability: A look at hydroelectric turbines behavior,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Response spectra and expected fatigue reliability: A look at hydroelectric turbines behavior,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:51.881522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8109fd6b-9139-4075-80a5-3610d127f7cf · outbound

This paper cites Nicolet, Hydroacoustic modelling and numerical simulation of un- steady operation of hydroelectric systems.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Nicolet, Hydroacoustic modelling and numerical simulation of un- steady operation of hydroelectric systems

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:51.867264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 90f2a6d5-f67a-4a70-9e0b-469745e42977 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T15:10:51.682019Z

Source-reported events for the cited work

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Observation 4dd2ad2e-73a0-492b-8829-03fece4ac612 · outbound

This paper cites On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T15:10:51.687365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83dc4cc9-2f94-4dd8-b50c-8317f1e4090f · outbound

This paper cites Algorithm 1027: NOMAD version 4: nonlinear optimization with the MADS algo- rithm,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Algorithm 1027: NOMAD version 4: nonlinear optimization with the MADS algo- rithm,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:51.852003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1ea579a0-604f-49be-ac19-e7ed0edc3311 · outbound

This paper cites Finite-time analysis of the multiarmed bandit problem,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Finite-time analysis of the multiarmed bandit problem,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:51.835031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0b1d3aeb-d7b9-4b1c-a5e2-e84c460f1e95 · outbound

This paper cites Obtaining stress measurements on runners as a key contribution to reducing their degradation and improv- ing the reliability of hydroelectric production units,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Obtaining stress measurements on runners as a key contribution to reducing their degradation and improv- ing the reliability of hydroelectric production units,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:51.820018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a20df011-0c27-4853-a9f6-1e4392a7d52d · outbound

This paper cites Fatigue strength analysis of a prototype fran- cis turbine in a multilevel lifetime assessment procedure part ii: Method application and numerical investigation,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Fatigue strength analysis of a prototype fran- cis turbine in a multilevel lifetime assessment procedure part ii: Method application and numerical investigation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:51.801717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation eb55f91c-ffcb-4ae2-b985-bcefb7b4c839 · outbound

This paper cites Parallel space decomposi- tion of the mesh adaptive direct search algorithm,.

Active Learning-Based Optimization of Hydroelectric Turbine Startup to Minimize Fatigue Damage Parallel space decomposi- tion of the mesh adaptive direct search algorithm,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T15:10:51.782019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.