A Holistic Approach to Defect Detection in Solar Modules: Leveraging Lifecycle Data for Improved Performance Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.38124/ijisrt/25apr988
The efficient maintenance and optimization of solar modules are critical for sustaining high energy yields over their operational lifetimes. This research introduces a comprehensive system designed to enhance lifecycle traceability and defect detection in solar modules using a combination of advanced image analysis and machine learning techniques. By leveraging Convolutional Neural Networks (CNN), You Only Look Once (YOLO) object detection, and deep learning, the system analyzes thermal and normal imaging data as well as current-voltage (IV) characteristics and curves. The proposed framework enables the detection of common faults, such as hotspots, cell cracks, and degradation patterns, which can impact performance and safety. Integrated data management and tracking capabilities facilitate end-to-end lifecycle monitoring, providing accessible, organized insights for stakeholders involved in solar module maintenance and diagnostics. The model shows an accuracy of 90%. The results show that the system not only improves accuracy in fault identification but also allows efficient storage and retrieval of diagnostic data, presenting a robust solution for advancing photovoltaic asset management
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.38124/ijisrt/25apr988
- OA Status
- gold
- References
- 16
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410014602
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4410014602Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.38124/ijisrt/25apr988Digital Object Identifier
- Title
-
A Holistic Approach to Defect Detection in Solar Modules: Leveraging Lifecycle Data for Improved PerformanceWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-04-30Full publication date if available
- Authors
-
A.G. Phadke, N. Bhagwat, S. Mohaadkar, Vikram L. Dalal, Pranav JoshiList of authors in order
- Landing page
-
https://doi.org/10.38124/ijisrt/25apr988Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.38124/ijisrt/25apr988Direct OA link when available
- Concepts
-
System lifecycle, Computer science, Application lifecycle management, Systems engineering, Process management, Business, Engineering, Operating system, SoftwareTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
16Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4410014602 |
|---|---|
| doi | https://doi.org/10.38124/ijisrt/25apr988 |
| ids.doi | https://doi.org/10.38124/ijisrt/25apr988 |
| ids.openalex | https://openalex.org/W4410014602 |
| fwci | 0.0 |
| type | article |
| title | A Holistic Approach to Defect Detection in Solar Modules: Leveraging Lifecycle Data for Improved Performance |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | 1848 |
| biblio.first_page | 1839 |
| topics[0].id | https://openalex.org/T10468 |
| topics[0].field.id | https://openalex.org/fields/21 |
| topics[0].field.display_name | Energy |
| topics[0].score | 0.9943000078201294 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2105 |
| topics[0].subfield.display_name | Renewable Energy, Sustainability and the Environment |
| topics[0].display_name | Photovoltaic System Optimization Techniques |
| topics[1].id | https://openalex.org/T12111 |
| topics[1].field.id | https://openalex.org/fields/22 |
| topics[1].field.display_name | Engineering |
| topics[1].score | 0.9860000014305115 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2209 |
| topics[1].subfield.display_name | Industrial and Manufacturing Engineering |
| topics[1].display_name | Industrial Vision Systems and Defect Detection |
| topics[2].id | https://openalex.org/T14319 |
| topics[2].field.id | https://openalex.org/fields/17 |
| topics[2].field.display_name | Computer Science |
| topics[2].score | 0.9685999751091003 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1707 |
| topics[2].subfield.display_name | Computer Vision and Pattern Recognition |
| topics[2].display_name | Currency Recognition and Detection |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C35280785 |
| concepts[0].level | 4 |
| concepts[0].score | 0.5648791790008545 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q559486 |
| concepts[0].display_name | System lifecycle |
| concepts[1].id | https://openalex.org/C41008148 |
| concepts[1].level | 0 |
| concepts[1].score | 0.48902925848960876 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[1].display_name | Computer science |
| concepts[2].id | https://openalex.org/C30452754 |
| concepts[2].level | 3 |
| concepts[2].score | 0.43727055191993713 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q621590 |
| concepts[2].display_name | Application lifecycle management |
| concepts[3].id | https://openalex.org/C201995342 |
| concepts[3].level | 1 |
| concepts[3].score | 0.42541688680648804 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q682496 |
| concepts[3].display_name | Systems engineering |
| concepts[4].id | https://openalex.org/C195094911 |
| concepts[4].level | 1 |
| concepts[4].score | 0.39998626708984375 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q14167904 |
| concepts[4].display_name | Process management |
| concepts[5].id | https://openalex.org/C144133560 |
| concepts[5].level | 0 |
| concepts[5].score | 0.25051528215408325 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q4830453 |
| concepts[5].display_name | Business |
| concepts[6].id | https://openalex.org/C127413603 |
| concepts[6].level | 0 |
| concepts[6].score | 0.19286379218101501 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[6].display_name | Engineering |
| concepts[7].id | https://openalex.org/C111919701 |
| concepts[7].level | 1 |
| concepts[7].score | 0.1642913818359375 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q9135 |
| concepts[7].display_name | Operating system |
| concepts[8].id | https://openalex.org/C2777904410 |
| concepts[8].level | 2 |
| concepts[8].score | 0.0758141279220581 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q7397 |
| concepts[8].display_name | Software |
| keywords[0].id | https://openalex.org/keywords/system-lifecycle |
| keywords[0].score | 0.5648791790008545 |
| keywords[0].display_name | System lifecycle |
| keywords[1].id | https://openalex.org/keywords/computer-science |
| keywords[1].score | 0.48902925848960876 |
| keywords[1].display_name | Computer science |
| keywords[2].id | https://openalex.org/keywords/application-lifecycle-management |
| keywords[2].score | 0.43727055191993713 |
| keywords[2].display_name | Application lifecycle management |
| keywords[3].id | https://openalex.org/keywords/systems-engineering |
| keywords[3].score | 0.42541688680648804 |
| keywords[3].display_name | Systems engineering |
| keywords[4].id | https://openalex.org/keywords/process-management |
| keywords[4].score | 0.39998626708984375 |
| keywords[4].display_name | Process management |
| keywords[5].id | https://openalex.org/keywords/business |
| keywords[5].score | 0.25051528215408325 |
| keywords[5].display_name | Business |
| keywords[6].id | https://openalex.org/keywords/engineering |
| keywords[6].score | 0.19286379218101501 |
| keywords[6].display_name | Engineering |
| keywords[7].id | https://openalex.org/keywords/operating-system |
| keywords[7].score | 0.1642913818359375 |
| keywords[7].display_name | Operating system |
| keywords[8].id | https://openalex.org/keywords/software |
| keywords[8].score | 0.0758141279220581 |
| keywords[8].display_name | Software |
| language | en |
| locations[0].id | doi:10.38124/ijisrt/25apr988 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by-nc |
| locations[0].pdf_url | |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | International Journal of Innovative Science and Research Technology |
| locations[0].landing_page_url | https://doi.org/10.38124/ijisrt/25apr988 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5108754601 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | A.G. Phadke |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | A. Phadke |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5117406893 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | N. Bhagwat |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | N. Bhagwat |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5117406894 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | S. Mohaadkar |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | S. Mohaadkar |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5073050902 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-7896-625X |
| authorships[3].author.display_name | Vikram L. Dalal |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | V. Dalal |
| authorships[3].is_corresponding | False |
| authorships[4].author.id | https://openalex.org/A5014945173 |
| authorships[4].author.orcid | |
| authorships[4].author.display_name | Pranav Joshi |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | P.S. Joshi |
| authorships[4].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.38124/ijisrt/25apr988 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | A Holistic Approach to Defect Detection in Solar Modules: Leveraging Lifecycle Data for Improved Performance |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10468 |
| primary_topic.field.id | https://openalex.org/fields/21 |
| primary_topic.field.display_name | Energy |
| primary_topic.score | 0.9943000078201294 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2105 |
| primary_topic.subfield.display_name | Renewable Energy, Sustainability and the Environment |
| primary_topic.display_name | Photovoltaic System Optimization Techniques |
| related_works | https://openalex.org/W1546685302, https://openalex.org/W2386546059, https://openalex.org/W2352001183, https://openalex.org/W2118149557, https://openalex.org/W2065093007, https://openalex.org/W2158200782, https://openalex.org/W4206798131, https://openalex.org/W2463298341, https://openalex.org/W2001049975, https://openalex.org/W2316473513 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.38124/ijisrt/25apr988 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by-nc |
| best_oa_location.pdf_url | |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | International Journal of Innovative Science and Research Technology |
| best_oa_location.landing_page_url | https://doi.org/10.38124/ijisrt/25apr988 |
| primary_location.id | doi:10.38124/ijisrt/25apr988 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by-nc |
| primary_location.pdf_url | |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | International Journal of Innovative Science and Research Technology |
| primary_location.landing_page_url | https://doi.org/10.38124/ijisrt/25apr988 |
| publication_date | 2025-04-30 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W4406028248, https://openalex.org/W4396654560, https://openalex.org/W4360616596, https://openalex.org/W4390702158, https://openalex.org/W4403865076, https://openalex.org/W4400035808, https://openalex.org/W4309767518, https://openalex.org/W2795975941, https://openalex.org/W2006249416, https://openalex.org/W4383751023, https://openalex.org/W4360615329, https://openalex.org/W4391306077, https://openalex.org/W4400410178, https://openalex.org/W2795278158, https://openalex.org/W2902310455, https://openalex.org/W1973236742 |
| referenced_works_count | 16 |
| abstract_inverted_index.a | 22, 37, 156 |
| abstract_inverted_index.By | 47 |
| abstract_inverted_index.an | 128 |
| abstract_inverted_index.as | 71, 73, 89 |
| abstract_inverted_index.in | 33, 119, 142 |
| abstract_inverted_index.of | 5, 39, 85, 130, 152 |
| abstract_inverted_index.to | 26 |
| abstract_inverted_index.The | 0, 79, 125, 132 |
| abstract_inverted_index.You | 53 |
| abstract_inverted_index.and | 3, 30, 43, 60, 67, 77, 93, 100, 105, 123, 150 |
| abstract_inverted_index.are | 8 |
| abstract_inverted_index.but | 145 |
| abstract_inverted_index.can | 97 |
| abstract_inverted_index.for | 10, 116, 159 |
| abstract_inverted_index.not | 138 |
| abstract_inverted_index.the | 63, 83, 136 |
| abstract_inverted_index.(IV) | 75 |
| abstract_inverted_index.90%. | 131 |
| abstract_inverted_index.Look | 55 |
| abstract_inverted_index.Once | 56 |
| abstract_inverted_index.Only | 54 |
| abstract_inverted_index.This | 19 |
| abstract_inverted_index.also | 146 |
| abstract_inverted_index.cell | 91 |
| abstract_inverted_index.data | 70, 103 |
| abstract_inverted_index.deep | 61 |
| abstract_inverted_index.high | 12 |
| abstract_inverted_index.only | 139 |
| abstract_inverted_index.over | 15 |
| abstract_inverted_index.show | 134 |
| abstract_inverted_index.such | 88 |
| abstract_inverted_index.that | 135 |
| abstract_inverted_index.well | 72 |
| abstract_inverted_index.asset | 162 |
| abstract_inverted_index.data, | 154 |
| abstract_inverted_index.fault | 143 |
| abstract_inverted_index.image | 41 |
| abstract_inverted_index.model | 126 |
| abstract_inverted_index.shows | 127 |
| abstract_inverted_index.solar | 6, 34, 120 |
| abstract_inverted_index.their | 16 |
| abstract_inverted_index.using | 36 |
| abstract_inverted_index.which | 96 |
| abstract_inverted_index.(CNN), | 52 |
| abstract_inverted_index.(YOLO) | 57 |
| abstract_inverted_index.Neural | 50 |
| abstract_inverted_index.allows | 147 |
| abstract_inverted_index.common | 86 |
| abstract_inverted_index.defect | 31 |
| abstract_inverted_index.energy | 13 |
| abstract_inverted_index.impact | 98 |
| abstract_inverted_index.module | 121 |
| abstract_inverted_index.normal | 68 |
| abstract_inverted_index.object | 58 |
| abstract_inverted_index.robust | 157 |
| abstract_inverted_index.system | 24, 64, 137 |
| abstract_inverted_index.yields | 14 |
| abstract_inverted_index.cracks, | 92 |
| abstract_inverted_index.curves. | 78 |
| abstract_inverted_index.enables | 82 |
| abstract_inverted_index.enhance | 27 |
| abstract_inverted_index.faults, | 87 |
| abstract_inverted_index.imaging | 69 |
| abstract_inverted_index.machine | 44 |
| abstract_inverted_index.modules | 7, 35 |
| abstract_inverted_index.results | 133 |
| abstract_inverted_index.safety. | 101 |
| abstract_inverted_index.storage | 149 |
| abstract_inverted_index.thermal | 66 |
| abstract_inverted_index.Networks | 51 |
| abstract_inverted_index.accuracy | 129, 141 |
| abstract_inverted_index.advanced | 40 |
| abstract_inverted_index.analysis | 42 |
| abstract_inverted_index.analyzes | 65 |
| abstract_inverted_index.critical | 9 |
| abstract_inverted_index.designed | 25 |
| abstract_inverted_index.improves | 140 |
| abstract_inverted_index.insights | 115 |
| abstract_inverted_index.involved | 118 |
| abstract_inverted_index.learning | 45 |
| abstract_inverted_index.proposed | 80 |
| abstract_inverted_index.research | 20 |
| abstract_inverted_index.solution | 158 |
| abstract_inverted_index.tracking | 106 |
| abstract_inverted_index.advancing | 160 |
| abstract_inverted_index.detection | 32, 84 |
| abstract_inverted_index.efficient | 1, 148 |
| abstract_inverted_index.framework | 81 |
| abstract_inverted_index.hotspots, | 90 |
| abstract_inverted_index.learning, | 62 |
| abstract_inverted_index.lifecycle | 28, 110 |
| abstract_inverted_index.organized | 114 |
| abstract_inverted_index.patterns, | 95 |
| abstract_inverted_index.providing | 112 |
| abstract_inverted_index.retrieval | 151 |
| abstract_inverted_index.Integrated | 102 |
| abstract_inverted_index.detection, | 59 |
| abstract_inverted_index.diagnostic | 153 |
| abstract_inverted_index.end-to-end | 109 |
| abstract_inverted_index.facilitate | 108 |
| abstract_inverted_index.introduces | 21 |
| abstract_inverted_index.leveraging | 48 |
| abstract_inverted_index.lifetimes. | 18 |
| abstract_inverted_index.management | 104, 163 |
| abstract_inverted_index.presenting | 155 |
| abstract_inverted_index.sustaining | 11 |
| abstract_inverted_index.accessible, | 113 |
| abstract_inverted_index.combination | 38 |
| abstract_inverted_index.degradation | 94 |
| abstract_inverted_index.maintenance | 2, 122 |
| abstract_inverted_index.monitoring, | 111 |
| abstract_inverted_index.operational | 17 |
| abstract_inverted_index.performance | 99 |
| abstract_inverted_index.techniques. | 46 |
| abstract_inverted_index.capabilities | 107 |
| abstract_inverted_index.diagnostics. | 124 |
| abstract_inverted_index.optimization | 4 |
| abstract_inverted_index.photovoltaic | 161 |
| abstract_inverted_index.stakeholders | 117 |
| abstract_inverted_index.traceability | 29 |
| abstract_inverted_index.Convolutional | 49 |
| abstract_inverted_index.comprehensive | 23 |
| abstract_inverted_index.identification | 144 |
| abstract_inverted_index.characteristics | 76 |
| abstract_inverted_index.current-voltage | 74 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.12040219 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |