Abstract
Maintenance work orders must often be processed offline on embedded hardware, yet downstream software requires predictable structured output. We present ARID (Aviation-inspired Routing for Industrial Deployment), which extracts component, failure mode, symptom, and maintenance action into fixed-schema JSON on an 8 GB NVIDIA Jetson Orin NX. ARID combines conservative dual-teacher filtering, targeted noise-aware synthesis, one routing decision per work order, 4-bit inference, and grammar-constrained decoding. From 2,326 unlabeled OMIn records, it retains 716 training pairs and adds 99 topology-constrained records targeting action extraction. On 300 human-labeled records, ARID reaches 84.8% token-F1 on the reference stack and 82.9% on the deployed Jetson. Resident serving achieves 5,310/5,656 ms P50/P99 at 12.5 W. On zero-shot MaintNet transfer, semantic F1 falls to 46.4% while parser success remains at least 99.8%, showing that output validity transfers but field semantics do not.
Keywords
Publication details
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- Green open access
Cite this article
APA 7
Chen, K., & Kuo, C. W. (2026). ARID: A Deployable Edge AI System for Structured Information Extraction from Industrial Maintenance Work Orders. https://omanscience.com/en/articles/arid-a-deployable-edge-ai-system-for-structured-information-extraction-from-industrial-maintenance-work-orders
MLA 9
Chen, Kuanlin, and Chen-Wei Kuo. "ARID: A Deployable Edge AI System for Structured Information Extraction from Industrial Maintenance Work Orders." https://omanscience.com/en/articles/arid-a-deployable-edge-ai-system-for-structured-information-extraction-from-industrial-maintenance-work-orders.
Chicago (author–date)
Chen, Kuanlin, and Chen-Wei Kuo. 2026. "ARID: A Deployable Edge AI System for Structured Information Extraction from Industrial Maintenance Work Orders." https://omanscience.com/en/articles/arid-a-deployable-edge-ai-system-for-structured-information-extraction-from-industrial-maintenance-work-orders.
Harvard
Chen, K. and Kuo, C. W. (2026) 'ARID: A Deployable Edge AI System for Structured Information Extraction from Industrial Maintenance Work Orders', Available at: https://omanscience.com/en/articles/arid-a-deployable-edge-ai-system-for-structured-information-extraction-from-industrial-maintenance-work-orders.
Vancouver
Chen K, Kuo CW. ARID: A Deployable Edge AI System for Structured Information Extraction from Industrial Maintenance Work Orders. https://omanscience.com/en/articles/arid-a-deployable-edge-ai-system-for-structured-information-extraction-from-industrial-maintenance-work-orders
IEEE
K. Chen, and C. W. Kuo, "ARID: A Deployable Edge AI System for Structured Information Extraction from Industrial Maintenance Work Orders," https://omanscience.com/en/articles/arid-a-deployable-edge-ai-system-for-structured-information-extraction-from-industrial-maintenance-work-orders.