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Run your analysis now →https://www.patsnap.com/resources/blog/rd-blog/aeroelasticity-and-blade-vibration-in-turbomachinery-patent-landscape/ · Patsnap · data cut-off 2026-07-31 · downloaded from the live page
Patent Landscape · Turbomachinery AeroelasticityAeroelasticity and Blade Vibration Patents in Turbomachinery
- Concentrated at the top. the five leading filers hold 31.6% of all 1,028 records in scope, and the top ten hold 43.6% — a small group of turbine OEMs still controls most of the claim space.
- Filing has cooled from its 2021 peak. activity ran at 65 records in 2021 and fell to 21 by 2024, a -68% move over that three-year span, though 2025-2026 counts are still filling in under publication lag.
- Sensing and controls sit alongside the mechanical core. G01H vibration measurement (16.2%), G01M structural testing (10.4%) and G06F data processing (8.4%) all show up next to the F01D turbine base (48.2%), pointing to monitoring as an active adjacent front.
1,028
Published Records
32%
Top-5 Share of All Records
-68%
Filing Growth 2021→2024
US
Leading Jurisdiction
Filing growth compares 2021 (65 records) with 2024 (21) — a three-year span. 2024 is the most recent year we treat as complete: publication lags filing by roughly 18 months, so 2025 onwards are still filling in and any growth rate that ends there would understate the field. Top-5 share is the combined record count of the five largest assignees divided by all 1,028 records in scope (CR5), not by the ranked leaders only.
Published byPatsnap Research··8 min readSourced from Patsnap Eureka
Overview
What this landscape covers
This dataset tracks patent families addressing blade vibration, forced response and bladed-disk mistuning in turbomachinery, matched against damping, monitoring and fatigue-detection concepts such as nodal diameter analysis, Campbell diagrams, friction dampers, strain gauges and high-cycle fatigue. The scope spans gas turbines, aero engines, wind turbines and compressors wherever these vibration-control and diagnostic techniques appear together in the same record.
Coverage runs from 2015-01-01 through the 2026-07-31 data cut-off, with 1,028 published records forming the basis for the assignee ranking, technology composition and filing trend shown below.
Filing activity and technology composition, 2015-2026
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Aeroelasticity and Blade Vibration in Turbomachinery covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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The Data
Filing trend and technology composition
Two views of the same 1,028-record dataset: how filing activity has moved year over year, and how records split across the IPC subclasses that define the mechanical, sensing and control layers of this field.
Filing trend: a 2021 peak, then a pullback
Annual filings rose to a peak of 65 records in 2021, then declined to 21 by 2024 — a -68% move over that three-year span. Records published in 2025 and 2026 will continue to fill in as the roughly 18-month gap between filing and publication closes, so the most recent bars understate actual filing activity rather than confirm a slowdown.
Technology composition: turbine hardware still dominates, sensing is close behind
F01D (turbines and non-positive engines) appears in 48.2% of the 1,028 records, confirming that most activity is still anchored to the mechanical turbine stage itself. G01H vibration measurement (16.2%) and G01M structural testing (10.4%) form a substantial secondary layer built around detecting and characterizing vibration rather than only damping it, while F03D wind motors (9.6%) and G06F data processing (8.4%) mark two distinct adjacent fronts — wind turbine hardware and digital monitoring/control software respectively. Because records can carry multiple IPC classes, these shares sum to more than 100% of the record total.
Shares are the percentage of the 1,028 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Source: Patsnap Eureka. Filing trend and technology composition. Derived from a Patsnap search on Aeroelasticity and Blade Vibration in Turbomachinery covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.
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Most-cited records and a representative filing
Representative Filing
US11199437B2 — Utilization of fast-response pressure measurements to nonintrusively monitor blade vibration in axial compressors
PURDUE RESEARCH FOUNDATION
A method to monitor rotor blade vibration using unsteady casing pressure. The method applies a non-intrusive blade vibration monitoring technique by using an array of unsteady pressure sensors which may be flush-mounted in the casing of a compressor. The method comprises using spinning mode theory and temporal-spatial analysis to obtain frequency and nodal diameter information of spinning pressure waves associated with the rotor blade vibration. An example of the compressor can be a multistage axial compressor.Filed by Purdue Research Foundation, granted 2021-12-14 — an academic-assignee filing in a field otherwise dominated by turbine OEMs.
Highest-citation records in scope
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20110186353A1 | System and Method for Monitoring and Controlling Underground Drilling | 235 |
| 2 | US5005353A | Active control of unsteady motion phenomena in turbomachinery | 182 |
| 3 | US5478207A | Stable blade vibration damper for gas turbine engine | 172 |
| 4 | US9696198B2 | System and method for monitoring and controlling underground drilling | 144 |
| 5 | US20140251688A1 | System and method for monitoring and controlling underground drilling | 137 |
| 6 | US4872810A | Turbine rotor retention system | 115 |
| 7 | US6827551B1 | Self-tuning impact damper for rotating blades | 112 |
| 8 | US20140241878A1 | System and method for controlling a wind turbine based on identified surface conditions of the rotor blades | 104 |
| 9 | US4967550A | Active control of unsteady motion phenomena in turbomachinery | 102 |
| 10 | GB2191606A | Active control of unsteady motion phenomena in turbomachinery | 99 |
Citation counts accumulate over time within this searched corpus, so older records are structurally favored — treat this as a signal of historical influence rather than current filing priority.
Each row carries its publication number; clicking a row searches Eureka by that number.
Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Aeroelasticity and Blade Vibration in Turbomachinery covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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What the numbers mean for a filing decision
Reading the concentration, technology mix and trend together points to where claim space is already dense and where it still has room.
Concentration
31.6% / 43.6%
top 5 / top 10 share of 1,028 records
A small group still holds the mechanical core
The five leading filers account for 31.6% of all 1,028 records, and the top ten reach 43.6%. That leaves the mechanical damping and blade-design core of this field structurally difficult for a new entrant to claim cleanly, since the leaders' portfolios overlap heavily with F01D turbine claims.
Based on the full 100-company ranking returned for this dataset.
Momentum
65 → 21
records, 2021 peak to 2024
Filing has pulled back from its 2021 high
The -68% move from 65 records in 2021 to 21 in 2024 is the clearest complete-year signal in the trend. It reflects a genuine pullback in disclosed filings through that window, though 2025-2026 figures are still incomplete under normal publication lag and should not be read as a continuation of the decline.
2024 is the most recent year treated as complete.
Technology mix
48.2% F01D
share of records tied to turbine hardware
Sensing and software are a distinct second layer
Beyond the F01D turbine base, G01H vibration measurement (16.2%) and G06F data processing (8.4%) show that a meaningful share of activity now sits in detection and analysis rather than mechanical damping alone. G05B control systems at 4.9% is comparatively thin, suggesting active closed-loop vibration control is less claimed than passive monitoring.
Shares sum above 100% because records carry multiple IPC classes.
Geography
358 US filings
of the tracked receiving-office counts
US and EPO dominate the filing venues
United States filings lead at 358, with Europe (EPO) at 215 and Japan at 88 following behind WIPO's PCT route at 66. Germany and China sit closer together at 52 and 50, indicating the field's commercial center of gravity remains with US and European turbine OEMs even as filings appear more broadly.
Counts reflect receiving office, not assignee nationality.
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Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Aeroelasticity and Blade Vibration in Turbomachinery covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Players
Who is filing, and where activity is shifting
The ranked leaders are turbine OEMs and energy majors, with a long tail of single- or few-filing entrants including universities and specialist monitoring firms.
Leader
107 records
leading assignee filing count
One filer sits well ahead of the field
The leading assignee's 107 records put it clearly ahead of fifth place at 32 and tenth place at 22, a steep drop-off that marks this as a field with one dominant portfolio rather than several evenly matched ones.
Counted across the 1,028-record scope.
Long tail
100 companies ranked
full assignee ranking returned
Beyond the leaders, filing thins out fast
Past the top ten, which together hold 43.6% of records, the ranking spreads across many companies with modest counts each — turbine OEMs, wind majors, and research institutions including a Chinese university, each holding a narrow slice of the field.
This is the full ranking the dataset returns, not a top-50 or top-100 cut.
Momentum
-100% YoY
several leading filers, latest year
Recent-year activity has gone quiet across leaders
Several of the historically largest filers show 0 records in the latest tracked year against a prior year of activity, registering as -100% year-over-year. Given publication lag, this likely reflects incomplete recent-year data more than an actual stop in filing, but it means recent momentum cannot yet be read from these leaders' counts.
Momentum reflects the latest tracked year only.
Recent-year filing momentum by assignee
| Assignee | Recent year | YoY |
|---|---|---|
| Xi'an Jiaotong University | 1 | 0% |
| General Electric Co. | 0 | -100% |
| Rolls-Royce plc | 0 | -100% |
| Raytheon Technologies Corp. (RTX Corp.) | 0 | -100% |
| Vestas Wind Systems A/S | 0 | -100% |
| Siemens Energy Inc. | 0 | — |
| United Technologies Corp. | 0 | — |
| Westinghouse Electric Corp. | 0 | — |
Source: Patsnap Eureka. Assignee-level momentum. Derived from a Patsnap search on Aeroelasticity and Blade Vibration in Turbomachinery covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
What's Next
Where to take this analysis
The dataset points to a mechanically dense core and a thinner, more open sensing-and-control layer. The next steps depend on whether the goal is freedom-to-operate or new claim drafting.
Map claim boundaries around the leader's 107 records
Before filing anywhere near F01D turbine damping claims, review how the leading assignee's portfolio is actually claimed rather than assuming the count alone blocks entry.
Explore assignee claims in EurekaTest white space in active vibration control
G05B control-system classification is comparatively thin against the F01D base, suggesting closed-loop control claims may have more room than passive damping or monitoring.
Run a white space search in EurekaTrack the post-2024 filing gap as it fills in
2025-2026 counts will rise as publication lag closes; revisit the trend once a fuller year of data is available before concluding filing activity has genuinely slowed.
Set an alert in EurekaSource: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Aeroelasticity and Blade Vibration in Turbomachinery covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ
Common questions on this landscape
One assignee leads clearly with 107 records in this 1,028-record dataset, well ahead of fifth place at 32 and tenth place at 22. The top five filers together hold 31.6% of all records and the top ten hold 43.6%, so filing is concentrated among a small group of turbine OEMs and energy majors rather than spread evenly. Past the top ten, the ranking includes a long tail of companies and research institutions each holding only a handful of records.
Filing peaked at 65 records in 2021 and fell to 21 by 2024, a -68% move over that three-year span using the most recent years that can be treated as complete. Counts for 2025 and 2026 are still low, but that reflects the roughly 18-month lag between filing and publication rather than a confirmed continued decline. Any read on the very latest years should wait for those records to finish publishing.
F01D, covering turbines and non-positive-displacement engines, appears in 48.2% of the 1,028 records and anchors the field to the mechanical turbine stage. G01H vibration measurement (16.2%) and G01M structural testing (10.4%) form a substantial secondary layer focused on detecting and characterizing vibration, while F03D wind turbines (9.6%) and G06F data processing (8.4%) mark distinct hardware and software adjacencies. Because a single record can carry multiple IPC classes, these percentages add up to more than 100% of the record total.
US11199437B2, assigned to Purdue Research Foundation and granted 2021-12-14, covers a non-intrusive method for monitoring rotor blade vibration in axial compressors using an array of unsteady pressure sensors flush-mounted in the compressor casing. It applies spinning mode theory and temporal-spatial analysis to extract frequency and nodal diameter information from pressure waves tied to blade vibration. Anyone developing casing-mounted, pressure-based blade vibration monitoring for multistage axial compressors should review its claims closely, since it is one of the few academic-assigned filings in a field otherwise dominated by turbine OEM portfolios.
Relative to the dense F01D turbine core, closed-loop active vibration control under G05B is comparatively thin at 4.9% of records, and non-intrusive pressure-based monitoring approaches remain less crowded than mechanical damping designs. Mistuning-aware digital twin and modeling approaches sit at the intersection of G06F data processing and the mechanical core, an intersection that is not yet heavily claimed on its own. These pockets are worth checking against the full ranked portfolios before drafting new claims there.
Answers are grounded in the same dataset. Derived from a Patsnap search on Aeroelasticity and Blade Vibration in Turbomachinery covering 2015–2026, data cut-off 2026-07-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.