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NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure

2016 doctoral thesis by Petrus Jozef Martinus Leijen at University of Waikato
CreativeWork doctoral_thesis Q112931198
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Summary

NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure is a doctoral thesis[1].

Key Facts

  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's instance of is recorded as Instrumentation, modelling and prognostics for identifying failure — instance of (P31): doctoral thesis[2].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure was published by Instrumentation, modelling and prognostics for identifying failure — publisher (P123): Waikato Research Commons[3].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's language of work or name is recorded as Instrumentation, modelling and prognostics for identifying failure — language of work or name (P407): English[4].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's country of origin is recorded as Instrumentation, modelling and prognostics for identifying failure — country of origin (P495): New Zealand[5].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure was published on 2016[6].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's main subject is Instrumentation, modelling and prognostics for identifying failure — main subject (P921): switched-mode power supply[7].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's main subject is Instrumentation, modelling and prognostics for identifying failure — main subject (P921): Kalman filter[8].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's main subject is Instrumentation, modelling and prognostics for identifying failure — main subject (P921): scientific modeling[9].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's main subject is Instrumentation, modelling and prognostics for identifying failure — main subject (P921): supercapacitor[10].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's work available at URL is recorded as https://researchcommons.waikato.ac.nz/handle/10289/10633[11].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's title is recorded as NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure[12].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's author name string is recorded as Petrus Jozef Martinus Leijen[13].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's thesis submitted to is recorded as Instrumentation, modelling and prognostics for identifying failure — thesis submitted to (P4101): University of Waikato[14].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's on focus list of Wikimedia project is recorded as Instrumentation, modelling and prognostics for identifying failure — on focus list of Wikimedia project (P5008): NZThesisProject[15].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's copyright status is recorded as Instrumentation, modelling and prognostics for identifying failure — copyright status (P6216): copyrighted[16].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's online access status is recorded as Instrumentation, modelling and prognostics for identifying failure — online access status (P6954): open access[17].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's thesis committee member is recorded as Instrumentation, modelling and prognostics for identifying failure — thesis committee member (P9161): Nihal Kularatna[18].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's thesis committee member is recorded as Instrumentation, modelling and prognostics for identifying failure — thesis committee member (P9161): David Alistair Steyn-Ross[19].
  • NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's thesis submitted for degree is recorded as Instrumentation, modelling and prognostics for identifying failure — thesis submitted for degree (P13338): Doctor of Philosophy[20].

Body

Designation and Status

NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure's instance of is recorded as Instrumentation, modelling and prognostics for identifying failure — instance of (P31): doctoral thesis[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.
  2. [3] ↑ . wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.
  18. [19] ↑ . wikidata.org.
  19. [20] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure. Retrieved May 3, 2026, from https://4ort.xyz/entity/nimh-battery-forensics-instrumentation-modelling-and-prognostics-for-identifying-failure
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BibTeX @misc{4ortxyz_nimh-battery-forensics-instrumentation-modelling-and-prognostics-for-identifying-failure_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure}}, year = {2026}, url = {https://4ort.xyz/entity/nimh-battery-forensics-instrumentation-modelling-and-prognostics-for-identifying-failure}, note = {Accessed: 2026-05-03}}
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Edit History

Rolling log of changes to this entity's Wikidata record. Values shown reflect the current state of each edited property — follow the history link to see the precise diff for any edit.

  1. 6w ago · DrThneed · 2026-09-06 view diff on Wikidata ↗
    Thesis submitted for degree → Doctor of Philosophy
    Author name string → Petrus Jozef Martinus Leijen
    Thesis submitted to → University of Waikato
    Handle id → 10289/10633
    + 14 other properties edited (see Wikidata diff for full list)
    "/* wbeditentity-update:0| */ QuickStatements 3.0 [[:toollabs:qs-dev/batch/52326|batch #52326]]: UoWaikato"
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