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Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data

doctoral dissertation submitted to Texas A&M University's mechanical engineering department
Thing dissertation Q107608813
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Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data

Summary

Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data is a dissertation[1].

Key Facts

  • Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data authored Austin Paul Rogers[2].
  • Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data's instance of is recorded as dissertation[3].
  • Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data's instance of is recorded as doctoral thesis[4].
  • Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data's part of is recorded as Electronic Theses, Dissertations, and Records of Study (2002– )[5].
  • Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data's language of work or name is recorded as English[6].
  • Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data's country of origin is recorded as United States[7].
  • +2019-01-01T00:00:00Z marks the founding of Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data[8].
  • Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data's main subject is recorded as mechanical engineering[9].
  • Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data's work available at URL is recorded as http://hdl.handle.net/1969.1/186408[10].
  • Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data's location of creation is recorded as Texas[11].
  • Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data's location of creation is recorded as College Station[12].
  • Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data's Handle ID is recorded as 1969.1/186408[13].
  • Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data's title is recorded as Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data[14].
  • Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data's thesis submitted to is recorded as Texas A&M University[15].

Body

Works and Contributions

Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data authored Austin Paul Rogers[2].

References

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

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [4] ↑ . wikidata.org.
  3. [2] ↑ . oaktrust.library.tamu.edu. oaktrust.library.tamu.edu. Provenance: wikidata.org.
  4. [5] ↑ . oaktrust.library.tamu.edu. oaktrust.library.tamu.edu. Provenance: wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . oaktrust.library.tamu.edu. oaktrust.library.tamu.edu. Provenance: wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . oaktrust.library.tamu.edu. oaktrust.library.tamu.edu. Provenance: wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . oaktrust.library.tamu.edu. oaktrust.library.tamu.edu. Provenance: wikidata.org.
  14. [15] ↑ . oaktrust.library.tamu.edu. oaktrust.library.tamu.edu. Provenance: wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data. Retrieved May 3, 2026, from https://4ort.xyz/entity/fault-detection-and-diagnosis-methods-for-residential-air-conditioning-systems-using-cloud-based-data
MLA “Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/fault-detection-and-diagnosis-methods-for-residential-air-conditioning-systems-using-cloud-based-data.
BibTeX @misc{4ortxyz_fault-detection-and-diagnosis-methods-for-residential-air-conditioning-systems-using-cloud-based-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data}}, year = {2026}, url = {https://4ort.xyz/entity/fault-detection-and-diagnosis-methods-for-residential-air-conditioning-systems-using-cloud-based-data}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fault Detection and Diagnosis Methods for Residential Air Conditioning Systems Using Cloud-Based Data — https://4ort.xyz/entity/fault-detection-and-diagnosis-methods-for-residential-air-conditioning-systems-using-cloud-based-data (retrieved 2026-05-03)

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