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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">caht</journal-id><journal-title-group><journal-title xml:lang="ru">Научный вестник МГТУ ГА</journal-title><trans-title-group xml:lang="en"><trans-title>Civil Aviation High Technologies</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2079-0619</issn><issn pub-type="epub">2542-0119</issn><publisher><publisher-name>Moscow State Technical University of Civil Aviation (MSTU CA)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26467/2079-0619-2025-28-6-53-63</article-id><article-id custom-type="elpub" pub-id-type="custom">caht-2671</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ТРАНСПОРТНЫЕ СИСТЕМЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>TRANSPORTATION SYSTEMS</subject></subj-group></article-categories><title-group><article-title>Выгорание летного состава как источник угрозы авиационной системы</article-title><trans-title-group xml:lang="en"><trans-title>Flight crew burnout as a source of aviation system threat</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Горяшко</surname><given-names>Г. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Goryashko</surname><given-names>G. S.</given-names></name></name-alternatives><bio xml:lang="ru"><sec><title>Горяшко Георгий Сергеевич, командир воздушного судна; преподаватель; аспирант</title><p>г. Москва</p><p>г. Санкт-Петербург</p></sec></bio><bio xml:lang="en"><p>Georgy S. Goryashko, Pilot-in-Command; Lecturer; the 5-th year Postgraduate Student</p><p>Moscow</p><p>Saint-Petersburg</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Аэрофлот – Российские авиалинии; Авиашкола Аэрофлота; Санкт-Петербургский государственный университет гражданской авиации имени Главного маршала авиации А.А. Новикова</institution><country>Россия</country></aff><aff xml:lang="en"><institution>PJSC “Aeroflot – Russian Airlines”; “Aeroflot Aviation School”; Saint-Petersburg State University of Civil Aviation named after Chief Marshal of Aviation A.A. Novikov</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>16</day><month>01</month><year>2026</year></pub-date><volume>28</volume><issue>6</issue><fpage>53</fpage><lpage>63</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Горяшко Г.С., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Горяшко Г.С.</copyright-holder><copyright-holder xml:lang="en">Goryashko G.S.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://avia.mstuca.ru/jour/article/view/2671">https://avia.mstuca.ru/jour/article/view/2671</self-uri><abstract><p>В статье анализируется влияние среднемесячной рабочей нагрузки на динамику профессиональных компетенций летного состава гражданской авиации в контексте синдрома профессионального выгорания и психофизиологического истощения. На основе лонгитюдного исследования данных 800 пилотов авиакомпании за 9 месяцев проведена оценка технических и нетехнических навыков в соответствии со стандартом Международной организации гражданской авиации ICAO DOC 9995. Методология включает статистический анализ корреляций между налетом часов, оценками компетенций и авиационными событиями, а также применение модели «спрос – ресурсы» для интерпретации механизмов истощения. Результаты выявили отсутствие прямой связи между объемом налета и авиационными инцидентами, что подтверждает эффективность систем управления безопасностью. Однако резкое увеличение нагрузки (свыше 10 часов) приводит к снижению доли положительно оцениваемых компетенций летного состава, что отражает истощение адаптационных ресурсов. Нетехнические компетенции демонстрируют наибольшую уязвимость, тогда как технические навыки остаются стабильными. Циклические перегрузки формируют дисбаланс между компетенциями, снижая продуктивность в последующие месяцы, что соответствует фазе истощения. На основе полученных данных предложен комплекс мер профилактики синдрома профессионального выгорания, включая внедрение систем управления усталостью (FRMS) с использованием носимых биосенсорных устройств, тренажерных программ для стресс-тестирования и ИИ-алгоритмов прогнозирования выгорания. Результаты подчеркивают критическую роль регулярного мониторинга компетенций для прогнозирования рисков и необходимость интеграции психофизиологических аспектов в управление ресурсами экипажей. Исследование подтверждает, что динамика нетехнических навыков служит ранним индикатором латентных угроз безопасности, требующих превентивного подхода.</p><p> </p></abstract><trans-abstract xml:lang="en"><p>This article analyzes the impact of the average monthly workload on the dynamics of professional competencies of civil aviation flight personnel in the context of professional burnout and psychophysiological exhaustion syndrome. Based on a longitudinal study of the data of 800 airline pilots for 9 months, an assessment of technical and non-technical skills was carried out in accordance with the International Civil Aviation Organization (ICAO) standard DOC 9995. The methodology includes statistical analysis of correlations between flight hours, competency assessments and aviation incidents, as well as the use of the Demand- Resources model to interpret exhaustion mechanisms. The results revealed the absence of a direct link between the volume of flight hours and aviation incidents, which confirms to the effectiveness of safety management systems. However, a sharp workload increase (over 10 hours) leads to a decrease in the proportion of positively assessed flight crew competencies, reflecting the depletion of adaptive resources. Non-technical competencies show the greatest vulnerability, while technical skills remain stable. Cyclical overloads create an imbalance between competencies, reducing productivity in following months, which corresponds to the exhaustion phase. Based on the data obtained, a set of measures for prevention of occupational burnout syndrome is proposed, including the implementation of Fatigue Risk Management Systems (FRMS) using wearable biosensor devices, training programs for stress testing and AL algorithms for predicting burnout. The results highlight the critical role of regular competency monitoring for risk forecasting and the need to integrate psychophysiological aspects into crew resource management. The study confirms that dynamics of non-technical skills serve as an early indicator of latent safety threats, that require a preventive approach.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>профессиональное выгорание</kwd><kwd>безопасность полетов</kwd><kwd>компетенции летного состава</kwd><kwd>психофизиологическое истощение</kwd><kwd>управление усталостью</kwd><kwd>прогностический мониторинг</kwd><kwd>нетехнические навыки</kwd></kwd-group><kwd-group xml:lang="en"><kwd>professional burnout</kwd><kwd>flight safety</kwd><kwd>flight crew competencies</kwd><kwd>psychophysiological exhaustion</kwd><kwd>Fatigue Risk Management System (FRMS)</kwd><kwd>predictive monitoring</kwd><kwd>non-technical skills</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Cassie J.H., Kevin B.G., Lucia A. и др. 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