Recent advances in sensor fault diagnosis: a review
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One of the key components of algal digital twin technology is obtaining enormous volumes of data in actual time, typically via sensors.
“One of the key components of ADT technology is obtaining enormous volumes of data in actual time, typically via sensors [56].”
From Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure (2024) · cites this paper as [56]
Finding a suitable medium among cost and energy limitations and the data required to size the sensor network is a hurdle.
“Finding a suitable medium among cost and energy limitations and the data required to size the sensor network is also a hurdle [56,34,48,57].”
From Reinvigorating algal cultivation for biomass production with digital twin technology - a smart sustainable infrastructure (2024) · cites this paper as [56]
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Sheik, A. G., Kumar, A., Patnaik, R., Kumari, S., & Bux, F. (2024) · Critical Reviews in Environmental Science and Technology · doi:10.1080/10643389.2023.2252313 · Cited by 47 · see citing works
Sheik, A. G., Kumar, A., Ansari, F. A., Raj, V., Peleato, N. M., Patan, A. K., Kumari, S., & Bux, F. (2024) · Algal Research · doi:10.1016/j.algal.2024.103779 · Cited by 37 · see citing works
- Authors
- Li, D., Wang, Y., Wang, J., Wang, C., & Duan, Y.
- Affiliations
- China Agricultural University (CN)
- University of Bedfordshire (GB)
- Corresponding author
- Li, Daoliang
- Venue
- Sensors and Actuators A Physical
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 309
- Pages
- 111990
- ISSN
- 0924-4247 (ISSN-L)
- OpenAlex
- W3022757405
- Cited by
- 323
- References
- 131
- Citations by year
- 2026: 38 · 2025: 85 · 2024: 68 · 2023: 65 · 2022: 34 · 2021: 29 · 2020: 4
- FWCI
- 16.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Sensors and Actuators A Physical (publishedVersion)
- University of Bedfordshire Repository (University of Bedfordshire) (submittedVersion)
- Funders
- National Natural Science Foundation of China (61571444)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Fault Detection and Control Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Machine Fault Diagnosis Techniques
- Physical Sciences › Engineering › Control and Systems Engineering › Engineering and Test Systems
- Keywords
- sensor fault diagnosis, sensor faults, fault types, fault causes, fault detection methods, industrial sensors, agricultural sensors, data acquisition system
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