Background noise mitigation of dual microphone system for defect detection in electrical cable connection Article Swipe
Neha S. Joshi
,
Sonali Singh
,
Matthew Krugh
,
Laine Mears
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1016/j.promfg.2018.07.139
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1016/j.promfg.2018.07.139
The automotive wiring harness forms the nervous system of the modern automobile and is dependent on electrical circuits joined together by a myriad of electrical connector designs. If a defect in a single connection occurs during vehicle assembly, the vehicle systems may not communicate correctly, and the entire vehicle can be sent for rework incurring a potentially significant added cost. Detection of these defects currently relies on human validation, and can be difficult to maintain consistent inspection reliability. In this work, the "clicking" sound corresponding to the successful connection of mating electrical connectors is analyzed in the presence of noise to quantify the ability to detect and classify these types of connections within a simulated work environment. The work herein investigates a methodology to separate this sound signal from background noise using spectral subtraction, and introduces a classification method, demonstrated in a controlled application. Experiments using lab sensing systems were performed to process and analyze signals and the results showed a significant reduction in noise, effectively distinguishing the signal of interest.
Related Topics
Concepts
Rework
Cable harness
Microphone
Automotive industry
Noise (video)
Cable gland
SIGNAL (programming language)
Electronic engineering
Noise reduction
Engineering
Reliability (semiconductor)
Process (computing)
Computer science
Electrical engineering
Embedded system
Artificial intelligence
Power (physics)
Loudspeaker
Quantum mechanics
Physics
Operating system
Image (mathematics)
Programming language
Aerospace engineering
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.promfg.2018.07.139
- OA Status
- diamond
- Cited By
- 8
- References
- 14
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2886539049
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2886539049Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.promfg.2018.07.139Digital Object Identifier
- Title
-
Background noise mitigation of dual microphone system for defect detection in electrical cable connectionWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
-
2018-01-01Full publication date if available
- Authors
-
Neha S. Joshi, Sonali Singh, Matthew Krugh, Laine MearsList of authors in order
- Landing page
-
https://doi.org/10.1016/j.promfg.2018.07.139Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.promfg.2018.07.139Direct OA link when available
- Concepts
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Rework, Cable harness, Microphone, Automotive industry, Noise (video), Cable gland, SIGNAL (programming language), Electronic engineering, Noise reduction, Engineering, Reliability (semiconductor), Process (computing), Computer science, Electrical engineering, Embedded system, Artificial intelligence, Power (physics), Loudspeaker, Quantum mechanics, Physics, Operating system, Image (mathematics), Programming language, Aerospace engineeringTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
8Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2023: 2, 2022: 1, 2021: 1, 2020: 3Per-year citation counts (last 5 years)
- References (count)
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14Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| publication_date | 2018-01-01 |
| publication_year | 2018 |
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