| Citation: | Liu Wenzheng, Zhu Rupeng, Zhu Xinhua, et al. Research progress on health monitoring technology for helicopter main gearbox in transmission systems[J]. Journal of Aerospace Power, 2026, 41（10）：20250064 doi: 10.13224/j.cnki.jasp.20250064
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With the rapid growth of the low-altitude economy and expanding helicopter applications, demands for safety, maintainability, and reliability are increasing. As the core of the transmission system, the main gearbox’s health directly impacts service life and flight safety. However, its complex structure and harsh operating conditions pose challenges such as signal complexity, feature extraction difficulties, and sensor placement limitations. Over the past three decades, research on helicopter main gearbox health monitoring has focused on vibration signal processing, condition monitoring indicators, sensor technology, machine learning, and digital twins. Studies have analyzed the advantages and limitations of these technologies. Future efforts should emphasize establishing a systematic research framework, advancing multi-source sensor fusion, enhancing the interpretability of condition monitoring indicators, and promoting the engineering application of digital twins and transfer learning. These findings support optimizing main gearbox health monitoring systems, enhancing helicopter safety, reliability, and maintenance efficiency.
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