A New Architecture for Energy Efficient Fault Detection Using Energy Harvesters Article Swipe
D. Zhang
,
Patricio Peralta-Braz
,
Chun Tung Chou
,
Elena Atroshchenko
,
Mehrisadat Makki Alamdari
,
Mahbub Hassan
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2402.17776
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2402.17776
The current battery-powered fault detection system for vibration monitoring has a rather limited lifetime. This is because the high-frequency sampling (typically tens of kilo-Hertz) required for vibration monitoring results in high energy consumption in both the analog-to-digital (ADC) converter and wireless transmissions. This paper proposes a new fault detection architecture that can significantly reduce the energy consumption of the ADC and wireless transmission. Our inspiration for the new architecture is based on the observation that the many tens of thousand of data samples collected for fault detection are ultimately transformed into a small number of features. If we can generate these features directly without high frequency sampling, then we can avoid the the energy cost for ADC and wireless transmissions. We propose to use piezoelectric energy harvesters (which can be designed to have different frequency responses) and integrators to obtain these features in an energy-efficient manner. By using a publicly available data set for ball bearing fault detection (which was originally sampled at 51.2kHz) and piezoelectric energy harvester models, we can produce features, which when sampled at 0.33Hz, give a fault detection accuracy of 89% while reducing the sampling requirement by 4 orders-of-magnitude.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2402.17776
- https://arxiv.org/pdf/2402.17776
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4401057907
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4401057907Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2402.17776Digital Object Identifier
- Title
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A New Architecture for Energy Efficient Fault Detection Using Energy HarvestersWork title
- Type
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preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2024Year of publication
- Publication date
-
2024-02-21Full publication date if available
- Authors
-
D. Zhang, Patricio Peralta-Braz, Chun Tung Chou, Elena Atroshchenko, Mehrisadat Makki Alamdari, Mahbub HassanList of authors in order
- Landing page
-
https://arxiv.org/abs/2402.17776Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2402.17776Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2402.17776Direct OA link when available
- Concepts
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Architecture, Energy (signal processing), Fault detection and isolation, Fault (geology), Computer science, Reliability engineering, Automotive engineering, Embedded system, Engineering, Artificial intelligence, Physics, Geology, Seismology, Art, Quantum mechanics, Visual arts, ActuatorTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.converter | 38 |
| abstract_inverted_index.detection | 4, 48, 86, 157, 181 |
| abstract_inverted_index.different | 133 |
| abstract_inverted_index.features, | 172 |
| abstract_inverted_index.features. | 95 |
| abstract_inverted_index.frequency | 105, 134 |
| abstract_inverted_index.harvester | 167 |
| abstract_inverted_index.lifetime. | 13 |
| abstract_inverted_index.sampling, | 106 |
| abstract_inverted_index.vibration | 7, 26 |
| abstract_inverted_index.(typically | 20 |
| abstract_inverted_index.harvesters | 126 |
| abstract_inverted_index.monitoring | 8, 27 |
| abstract_inverted_index.originally | 160 |
| abstract_inverted_index.responses) | 135 |
| abstract_inverted_index.ultimately | 88 |
| abstract_inverted_index.consumption | 32, 56 |
| abstract_inverted_index.inspiration | 64 |
| abstract_inverted_index.integrators | 137 |
| abstract_inverted_index.kilo-Hertz) | 23 |
| abstract_inverted_index.observation | 73 |
| abstract_inverted_index.requirement | 189 |
| abstract_inverted_index.transformed | 89 |
| abstract_inverted_index.architecture | 49, 68 |
| abstract_inverted_index.piezoelectric | 124, 165 |
| abstract_inverted_index.significantly | 52 |
| abstract_inverted_index.transmission. | 62 |
| abstract_inverted_index.high-frequency | 18 |
| abstract_inverted_index.transmissions. | 41, 119 |
| abstract_inverted_index.battery-powered | 2 |
| abstract_inverted_index.energy-efficient | 144 |
| abstract_inverted_index.analog-to-digital | 36 |
| abstract_inverted_index.orders-of-magnitude. | 192 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 6 |
| citation_normalized_percentile |