The ranked list covers 75 companies, and it is a fragmented field rather than one dominated by a handful of names. The single leading assignee holds only 6 of the 103 records in scope, and the top 5 assignees combined account for 22.3% of all records. That means a competitive intelligence search should look across a long tail of single- and few-filing entrants, not just the largest portfolios, since most of the activity sits outside the top ranks.

The search scope combines both because the underlying sensing and diagnostic methods overlap: strain sensors, crack detection algorithms and vibration analysis apply to blades regardless of whether they sit in an aero-engine, an industrial gas turbine or a wind turbine rotor. The IPC composition shows F03D (wind motors) present in 18.4% of records alongside F01D (turbines generally) at 19.4%, confirming both machine types are well represented. Readers focused narrowly on aviation or power-generation turbines should filter by IPC class and machine type in the underlying records rather than assume the whole corpus is aero-specific.

China is the receiving office for 67 of the 103 records in scope, well ahead of the United States at 12 and single-digit counts for Europe, South Korea, WIPO and Germany. This reflects both the volume of Chinese wind and thermal power operators filing domestically and the strong presence of Chinese research institutes and universities in the assignee list. Anyone running a freedom-to-operate check in this space needs to include Chinese-language prior art, since it represents the majority of the documented filings.

Filings grew 14% from 2021 (7 records) to 2024 (8 records), which is the most recent period that publication lag allows to be read as complete. The peak year on record so far is 2025 at 14 filings, but because publication typically lags filing by around 18 months, 2025 and 2026 figures are still arriving and should not be read as a slowdown or a peak. The honest read is steady growth through 2024, with the true trajectory of 2025-2026 not yet visible.

LU601096B1 describes a borescope-based imaging pipeline for gas turbine blades that grades captured images into multi-level regions and runs them through a damage sample model built from historical data to generate damage information. It is a specific method combining image acquisition, region grading and a trained damage-classification model, filed by Huaneng Guilin Gas Distributed Energy Co., Ltd. and published 2025-10-14. Whether it blocks a given design depends on whether that design also combines borescope imaging with region-based grading and a historical-data model in the same sequence; a system using different sensing modalities, such as strain gauges or acoustic emission instead of imaging, would sit outside its literal claim scope.