[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-82388-en":3,"doc-seo-82388-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":13,"seo_description":14,"update_tm":28,"read_time":29},82388,1099514068365,"Aurelia","https://ap-avatar.wpscdn.com/avatar/10000253d8d9f28188e?_k=1776742907772140068",8,"Research & Report","How Mobile Gas Sensor Trajectories Govern Hydrogen Leak Detection: A Safety Gap in Manual Leak Inspection of Hydrogen System Components","Hydrogen leak testing for system components remains vulnerable to manual execution because operators cannot perceive the invisible tracer gas plume and cannot reliably compensate for device-specific signal delays and positioning errors. This study analyzes how a moving sniffer probe’s trajectory—path geometry, orientation, and velocity—controls detectability of small, narrow leaks on complex hydrogen component topologies. It introduces a reproducible robotic test bench, characterizes static concentration fields, quantifies dynamic signal loss, and provides validated, automated trajectory generation for assistance systems.","How Mobile Gas Sensor Trajectories Govern Hydrogen Leak Detection: A Safety Gap in Manual Leak Inspection of Hydrogen System Components  \nChristian Masuhra , Arne Wendta , Thorsten Schüppstuhla  \na Institute of Aircraft Production Technology (IFPT), Hamburg University of Technology (TUHH), Denickestraße 17, Hamburg, 21073, Germany  \na tangible safety risk. To operationalize these rules, a prooftrajectories directly from 3D models, usable for visualization  \nin assistance systems.  \nKeywords: Hydrogen safety, Tracer gas leak detection, Sniffer trajectory, Measurement uncertainty, Manual quality assurance, Non Destructive Testing  \n1. Introduction liability of the entire inspection thus rests on the intuition and  \n[ cs .RO]  \nexperience of the individual operator.  \nThis reliance is precarious. The operator can neither perceive the invisible tracer gas plume nor intuitively compensate for device-specific signal delays. A slow electrochemical sensor that is moved marginally too fast, or held at a sub-optimal angle, can miss a localized concentration entirely. Whether current manual protocols can reliably detect the small, narrow leaks characteristic of creeping fatigue failures is therefore an open question, and precisely the question this study addresses.  \nTo exploit these findings, operators could be given explicit guidance in following a validated trajectory. Digital assistance systems can provide such spatial guidance: an augmentedreality headset, for instance, can visualize probe poses along a predefined route and remove the ambiguity from manual positioning. This presupposes trajectories that are systematically designed to guarantee detection. No validated trajectory generation yet exists for sniffer-based leak detection (Section 2) .  \nTo bridge the gap between error-prone manual execution and the algorithmic reliability required by such assistance systems, this study investigates how the trajectory of a sniffer probe, namely its path geometry, orientation, and velocity, governs whether a small leak is detected at the complex component  \ntopologies of hydrogen systems. The core contributions of this paper are:  \n1. Experimental framework: a reproducible, robotically guided test bench that isolates the kinematic variables of sniffer-based leak detection from operator variability.  \n2. Static detectability fields: an empirical characterization of the measurable concentration fields around small leaks, covering realistic leak geometries, mounting orientations, and outflow directions at leak rates spanning buoyancydominated to transition-regime dispersion, resolved separately for two industrially relevant detectors.  \n3. Dynamic trajectory effects and routing rules: quantification of how scanning velocity and position-coupled probe orientation degrade the registered signal, condensed into a validated reduction-factor model for the dynamic signal loss and geometry-specific routing rules.  \n4. Automated trajectory generation: a proof-of-concept pipeline that operationalizes these rules and generates validated sniffer trajectories directly from structured 3D component data for integration into assistance systems.  \nThe remainder of this paper is organized as follows. Section 2 reviews the normative framework and the related scientific literature and delimits the research gap. Section 3 describes the robotic test bench, the leak geometries, and the static and dynamic measurement protocols. Section 4 reports the static concentration fields and the dynamic trajectory results. Section 5 derives the geometry-specific trajectory rules and the kinematic reduction-factor model, and Section 6 presents the automated trajectory-generation pipeline. Sections 7 and 8 discuss the implications for hydrogen safety guidelines and conclude.  \n2. State of the Art and Related Work  \nThis section establishes the dual gap that motivates the study: standards mandate leak testing but specify no spatial procedure, and the scientific literature characte","cbCaicoIFPAC7TLn","https://ap.wps.com/l/cbCaicoIFPAC7TLn","pdf",3836871,2,1,17,"English","en",105,"# Introduction\n## Regulatory framework and the normative gap\n# State of the Art and Related Work\n## Regulatory framework and the normative gap (continued)","[{\"question\":\"Why is manual hydrogen leak inspection considered unreliable?\",\"answer\":\"Manual protocols rely on operator intuition, yet operators cannot perceive the tracer gas plume and cannot compensate for device-specific signal delays and positioning errors. Small, narrow leaks can be missed when probe movement speed or angle is sub-optimal.\"},{\"question\":\"What variables of the sniffer probe trajectory does the study focus on?\",\"answer\":\"The study examines trajectory path geometry, probe orientation, and velocity, and how these kinematic factors affect whether small leaks are detected on complex hydrogen system component topologies.\"},{\"question\":\"How does the research address the gap between standards and practical inspection execution?\",\"answer\":\"It develops a robotically guided, reproducible experimental framework that isolates kinematic variables, empirically characterizes concentration fields, derives a validated reduction-factor model for dynamic signal loss, and proposes geometry-specific routing rules and automated trajectory generation.\"}]",1784180077,43,{"code":4,"msg":31,"data":32},"ok",{"site_id":25,"language":24,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"how-mobile-gas-sensor-trajectories-govern-hydrogen-leak-detection-a-safety-gap-in-manual-leak-inspection-of-hydrogen-system-components","",{"@graph":36,"@context":85},[37,53,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,47,50],{"item":41,"name":42,"@type":43,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":20},"https://docshare.wps.com/document/","Document",{"item":48,"name":12,"@type":43,"position":49},"https://docshare.wps.com/document/research-report/",3,{"item":51,"name":13,"@type":43,"position":52},"https://docshare.wps.com/document/how-mobile-gas-sensor-trajectories-govern-hydrogen-leak-detection-a-safety-gap-in-manual-leak-inspection-of-hydrogen-system-components/82388/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":24,"description":14,"dateModified":61,"datePublished":62,"encodingFormat":60,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":41,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-07-22","2026-07-16",true,{"@type":65,"interactionType":66,"userInteractionCount":20},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"Why is manual hydrogen leak inspection considered unreliable?","Question",{"text":75,"@type":76},"Manual protocols rely on operator intuition, yet operators cannot perceive the tracer gas plume and cannot compensate for device-specific signal delays and positioning errors. Small, narrow leaks can be missed when probe movement speed or angle is sub-optimal.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"What variables of the sniffer probe trajectory does the study focus on?",{"text":80,"@type":76},"The study examines trajectory path geometry, probe orientation, and velocity, and how these kinematic factors affect whether small leaks are detected on complex hydrogen system component topologies.",{"name":82,"@type":73,"acceptedAnswer":83},"How does the research address the gap between standards and practical inspection execution?",{"text":84,"@type":76},"It develops a robotically guided, reproducible experimental framework that isolates kinematic variables, empirically characterizes concentration fields, derives a validated reduction-factor model for dynamic signal loss, and proposes geometry-specific routing rules and automated trajectory generation.","https://schema.org",{"og:url":51,"og:type":87,"og:title":13,"og:site_name":58,"og:description":14},"article",{"robots":89,"canonical":51},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,120,123,128,131,135],{"id":21,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":20,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":52,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":121,"slug":122},30,"research-report",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":126,"slug":127},9,"Religion & Spirituality",20,"religion-spirituality",{"id":126,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":126,"slug":130},"World Cup","world-cup",{"id":132,"doc_module":4,"doc_module_name":46,"category_name":133,"show_sort_weight":132,"slug":134},10,"Lifestyle","lifestyle",{"id":136,"doc_module":4,"doc_module_name":46,"category_name":137,"show_sort_weight":106,"slug":138},19,"General","general"]