Turbofan Engine Health Monitoring Patent Landscape 2026
Rolls-Royce PLC commands the turbofan engine health monitoring space, with the top five filers together holding nearly two-thirds of activity among the hundred largest filers. Annual filing volume has eased back from its 2017 peak, signalling a field transitioning from rapid build-out toward selective, high-value patenting by an entrenched incumbent tier.
Rolls-Royce leads a tightly held incumbent field
Rolls-Royce PLC sits at the top of the applicant ranking with 35 patent records, well ahead of RTX Corp at 22 and United Technologies Corp at 20. The top five filers — Rolls-Royce PLC, RTX Corp, United Technologies Corp, General Electric Co, and Rolls-Royce Corp — together account for 63% of the combined total across the hundred largest filers, confirming an oligopolistic competitive structure dominated by established aero-engine OEMs.
The gap between the first-ranked filer and the rest is substantial: Rolls-Royce PLC’s 35 patent records represent roughly 59% more than the second-ranked RTX Corp. Below the top five, Honeywell International, Pratt & Whitney Canada, and Dalian University of Technology each hold 5 patent records, signalling a second tier that is considerably thinner.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Rolls-Royce PLC | 35 | |
| 2 | RTX Corp | 22 | |
| 3 | United Technologies Corp | 20 | |
| 4 | General Electric Co | 15 | |
| 5 | Rolls-Royce Corp | 12 | |
| 6 | Honeywell International Inc | 5 | |
| 7 | PRATT & WHITNEY CANADA CORP | 5 | |
| 8 | Dalian University of Technology | 5 | |
| 9 | Siemens Energy Inc | 4 | |
| 10 | Meggitt SA | 4 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | University of Southern California | 3 | |
| 12 | ROLLS ROYCE DEUT LTD & CO KG | 3 | |
| 13 | GPMS International Inc | 2 | |
| 14 | Solar Turbines Inc | 2 | |
| 15 | People’s Liberation Army Unit 93208 | 2 | |
| 16 | Rolls-Royce High Temperature Composites Inc | 2 | |
| 17 | SF IP Properties 26 LLC | 2 | |
| 18 | Northwestern Polytechnical University | 2 | |
| 19 | Hangzhou Dianzi University | 2 | |
| 20 | АКЦИОНЕРНОЕ ОБЩЕСТВО "ОБЪЕДИНЕННАЯ ДВИГАТЕЛЕСТРОИТ… | 2 |
The incumbents’ deep portfolios around turbine mechanics (F01D) and test-and-balance methods (G01M) imply high barriers to entry in core rotating-hardware diagnostics. New entrants and academic filers appear primarily in control systems and data-processing branches, where IP density is lower.
Recent filing years (2024–2026) are subject to standard publication lag and are likely undercounted; the apparent low volume in those years should not be interpreted as further acceleration of the observed slowdown. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
How activity and technology mix are shifting
The annual trend chart reveals a field that peaked in 2017 and has eased since, while the IPC composition chart shows that core turbine and test-classification codes dominate but several data-processing and sensing branches remain comparatively sparse.
Annual filing trend
Filing volume reached 18 records in 2017 and has generally trended lower since, with the most recent years (2024–2026) almost certainly undercounted due to publication lag. The overall recent-window growth rate is negative at −43%, consistent with a field past its peak formation phase rather than one still actively expanding.
↗ Hover for values · click a bar to ask EurekaTechnology composition
F01D (Turbines and non-positive engines) and G01M (Testing machine and structure balance) are the two dominant IPC classes, reflecting the hardware-centric diagnostic core of this field. G05B (Control and regulating systems) and G06F (Electric digital data processing) hold meaningful but smaller shares, pointing to growing — though still secondary — interest in software-driven monitoring architectures.
↗ Hover for values · click a bar to ask EurekaHighly cited patent families surfaced by the query
Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.
Method and apparatus for fault detection in a gas …
A method for fault identification for a gas turbine engine includes receiving sensor data from at least one health monitoring sensor of a health monitoring system for a gas turbine engine; utilizing a pre-filter to filter the sensor data and obtain filtered data based on a plurality of signatures of fault conditions of the health monitoring system and the… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | MFCC and CELP to detect turbine engine faults | 178 |
| 2 | Torque sensor monitoring for gas turbine engine | 100 |
| 3 | Gas Turbine Engine Systems and Methods Involving V… | 93 |
| 4 | Data acquisition system and method for monitoring … | 58 |
| 5 | Gas turbine engine debris monitoring arrangement | 46 |
| 6 | Gas turbine engine debris monitoring arrangement | 43 |
| 7 | Device and method for controlling stator vane asse… | 42 |
| 8 | Diagnostic method and system for turbine engines | 42 |
Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.
What the competitive structure means for R&D investment
The combination of a past-peak filing curve, high incumbent concentration, and sparse coverage in data-processing and sensing branches shapes where new investment is likely to yield differentiated IP.
Field is in decline from a 2017 peak
Annual filing volume has eased back from the 2017 peak of 18 patent records and has not recovered to that level since. The lifecycle stage is classified as Decline. This suggests that broad foundational claims in turbine diagnostics are largely staked; incremental investment should target specific sub-problems or emerging sensing modalities rather than general diagnostic architecture.
Past-peak · 2017 highTop five OEMs hold nearly two-thirds of ranked activity
The top five filers account for 63% of the combined total among the hundred largest filers, with Rolls-Royce PLC alone accounting for the largest single block at 35 patent records. This high concentration means freedom-to-operate analysis is essential before entering core F01D and G01M technology spaces. The second tier — Honeywell, Pratt & Whitney Canada, Dalian University of Technology — each hold only 5 patent records, suggesting limited blocking power in adjacent areas.
OligopolisticCo-filing is rare; Rolls-Royce entities are the only identified pair
The only documented co-filing relationship in the evidence is between Rolls-Royce PLC and Rolls-Royce High Temperature Composites Inc, with 2 jointly filed records. This intra-group collaboration does not represent cross-industry partnership. The near-absence of cross-entity collaboration signals that the field is predominantly prosecuted by vertically integrated OEMs working independently, leaving ecosystem partnerships as a potential differentiator for new entrants.
Low collaboration densityUS and EPO are the primary filing destinations
The United States leads with 57 patent records, followed closely by Europe (EPO) at 52. China is the third-largest destination at 13 patent records, with Canada, the United Kingdom, and WIPO (PCT) each holding smaller shares. The US-centric filing pattern reflects the dominance of American and UK-headquartered OEMs and their primary commercial markets. Filers seeking broader Asian coverage may find China under-represented relative to the technology’s strategic importance.
US + EPO dominantGo beyond the landscape: Eureka’s TRIZ Solution agent breaks down an R&D problem and returns patented concept solutions, each with a technical approach and cited patent & literature evidence.
| Applicant | Collaborator | Co-filings |
|---|---|---|
| Rolls-Royce PLC | Rolls-Royce High Temperature Composites Inc | 2 |
Co-filing pairs, ranked by the number of jointly-filed patent families.
Rolls-Royce PLC leads; RTX Corp and new entrants show recent activity
The leader board is dominated by established aero-engine OEMs whose portfolios concentrate on turbine mechanics and gas-turbine plant monitoring. Recent momentum data indicate that RTX Corp and Meggitt SA are among the more active recent filers.
Rolls-Royce PLC
Rolls-Royce PLC holds 35 patent records, the largest portfolio in this space. Its technology focus is anchored in F01D 21 (Turbines and non-positive engines, 22 records) and G01M 15 (Testing machine and structure balance, 14 records), with secondary coverage in F02C 7 (Gas-turbine plants, 9 records). The applicant momentum data classifies recent filing activity as ‘new entrant’ trend, indicating a very small recent base relative to prior output — consistent with the field’s overall post-peak easing.
patent records: 35RTX Corp
RTX Corp holds 22 patent records and shows a ‘new entrant’ momentum trend with 4 recent records, suggesting a modest but present recent filing rate. Its technical emphasis, per the applicant technology data for related entity Raytheon Technologies, centers on F01D 21, F01D 5, and F02C 7 — closely mirroring the leader’s core focus areas. Meggitt SA, also flagged as a recent active filer with 4 recent records and a ‘new entrant’ trend, concentrates on G05B 23 (control and regulating systems), offering a differentiated angle on prognostics.
patent records: 22| Applicant | Recent (3 yrs) | Trend |
|---|---|---|
| Rolls-Royce PLC | 1 | ▲ new entrant |
| Pratt & Whitney Canada Corp | 1 | ▲ new entrant |
| RTX Corp | 4 | ▲ new entrant |
| Meggitt SA | 4 | ▲ new entrant |
Under-served branches worth watching in diagnostics and sensing
Several IPC classes adjacent to the dominant turbine-mechanics core carry low patent-record counts relative to their technical relevance to engine health monitoring, suggesting these areas receive comparatively less dedicated IP attention.
G06F · Electric digital data processing
With 22 patent records, G06F is the fourth-largest class in the composition but remains sparse relative to the opportunities presented by on-board and ground-based digital signal processing for health monitoring. As data volumes from engine sensors grow, algorithms for anomaly detection, feature extraction, and prognostic modelling represent a plausible entry path for software-focused players or academic spinouts, particularly given that incumbent OEM portfolios are concentrated in hardware-centric F01D and G01M classes.
Search this in Eureka →G01H · Measuring vibrations & sound
G01H (Measuring vibrations and sound) holds only 13 patent records in this corpus, despite vibration and acoustic signature analysis being a well-established physical basis for turbofan diagnostics. The sparsity may reflect cross-classification into G01M, but it also points to a potential gap in dedicated vibration-sensing and acoustic-monitoring IP. Entrants with novel sensor hardware, signal conditioning, or MFCC-based acoustic fault-detection methods — consistent with the most-cited prior art in this corpus — could find relatively open ground in this branch.
Search this in Eureka →Frequently asked questions
The analysis covers 77 patent families in scope across the turbofan engine health monitoring topic, drawn from global filings.
Rolls-Royce PLC leads with 35 patent records, ahead of RTX Corp at 22 and United Technologies Corp at 20. Rolls-Royce PLC’s portfolio is concentrated in turbine mechanics (F01D 21) and test-and-balance methods (G01M 15).
Filing activity peaked in 2017 at 18 patent records annually and has eased since, with a recent-window growth rate of −43%. The lifecycle stage is classified as Decline. The most recent years (2024–2026) are subject to publication lag and are likely undercounted, so the true current rate may be somewhat higher than raw figures suggest.
The United States leads with 57 patent records, followed by Europe (EPO) at 52 and China at 13. Canada, the United Kingdom, and WIPO (PCT) each hold smaller shares. The US and EPO together represent the primary protection markets for this technology.
The most-cited prior art identified in the evidence includes a patent on using MFCC and CELP methods to detect turbine engine faults (178 citations), a torque sensor monitoring patent for gas turbine engines (100 citations), and a patent covering gas turbine engine systems and methods (93 citations). These foundational references shape the technical baseline for diagnostics in this field.
The evidence identifies five relatively sparse adjacent branches: G06F (Electric digital data processing, 22 patent records), G01H (Measuring vibrations and sound, 13 records), F02K (Jet and reaction propulsion, 10 records), G01L (Force and pressure measurement, 8 records), and F04D (Non-positive-displacement pumps, 7 records). These are observations of relative sparsity within the corpus; their suitability as entry points depends on each filer’s technical capabilities and commercial context.
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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.
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