Maintenance & Asset Integrity Patents: Top Filers & Trends 2026
- 71.6% concentration. The top 5 assignees account for 58 of 81 records in scope — filing here is dominated by a small group, not spread across a long tail.
- Filing fell 95% from its 2021 peak. Activity ran from 19 records in 2021 down to 1 in 2024, the last year the trend can be read as complete.
- Flow measurement leads the claim map. G01F appears in 23.5% of the 81 records in scope, ahead of electric measurement and power-grid systems classes.
Filing growth compares 2021 (19 records) with 2024 (1) — 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 81 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
Maintenance and asset integrity patenting sits at the intersection of condition monitoring, mechanical diagnostics and the electrical systems that support them. The search scope in this dataset combines mechanical maintenance and asset-integrity language with terms tied to mechanical joints, load conditions, failure modes, dimensional tolerance and mechanical load — narrowing the field to records that treat physical wear and mechanical failure as first-class subject matter, rather than software-only monitoring dashboards.
Across 81 records published between 2015 and the August 2026 data cut-off, the technology mix leans mechanical-electrical: flow and volume sensing, electric and magnetic measurement, and power-grid systems together outweigh pure data-processing classes, suggesting that most claims are still anchored to a physical sensing or actuation step rather than an abstract analytics layer.
Let an AI agent run this analysis on your own technology
Pick a task. Every answer cites the patents behind it.
Filing trend and technology composition
Two views of the same 81 records: how filing activity moved year over year, and which IPC subclasses carry the claim language.
A sharp rise and an equally sharp fall
Filings climbed to a peak of 19 records in 2021, then fell to 1 record in 2024 — a 95% drop over that three-year span. 2025 and 2026 figures are still incomplete because publication lags filing by roughly 18 months, so the apparent tail should not be read as the field going quiet; it is a reporting artefact until later data lands.
Mechanical sensing outweighs pure analytics
G01F (flow, level and volume measuring) leads at 23.5% of the 81 records in scope, with G01R (electric and magnetic measurement) and H02J (power supply and grid systems) tied at 17.3% each. Business and admin data-processing (G06Q) sits lower at 13.6%, alongside conveying (B65G), material analysis (G01N) and motors/generators (H02K) each at 12.3% — a spread that points to instrumentation and power-systems claims rather than software abstraction as the dominant filing strategy.
Shares are the percentage of the 81 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Maintenance & Asset Integrity Patent Landscape with Eureka
This page is one run against one query. Ask Eureka your own question about maintenance & asset integrity patent landscape and every answer comes back with the patent numbers behind it.
Try EurekaThe most-cited records in this field
Automated fault diagnosis method and system for engine-compressor sets
The system monitors engine-compressor sets using one vibration sensor per engine cylinder sub-group and one per compressor cylinder. Vibration signals are tagged to crankshaft phase-angle windows to mark engine and compressor events; during a learning mode, the system stores expected signal behaviour per operating load condition and applies statistical process control to set alarm thresholds. In monitoring mode, current signals and current load are matched against the stored baseline to flag deviations, with operator override permitted throughout.Filed by Windrock Inc., published 2008-07-22 — one of the most-cited records in this dataset.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20030172002A1 | Menu driven management and operation technique | 174 |
| 2 | US7403850B1 | Automated fault diagnosis method and system for engine-compressor sets | 110 |
| 3 | US9747618B1 | Purchasing pace control in a real-time bidding environment using a multi-loop control scheme | 32 |
| 4 | US20120109553A1 | Automated emergency power supply test with variable, priority-based transfer times | 30 |
| 5 | US20100183440A1 | Method for the operation of a wind power plant | 26 |
| 6 | US20120105097A1 | Automated emergency power supply system (EPSS) test reporting criticality of EPSS test failure | 24 |
| 7 | US20120109552A1 | Automated emergency power supply test featuring user selection of load percentage or exhaust temperature | 19 |
| 8 | US10290025B1 | Controlling impression delivery pacing for multiple geographic regions associated with an online campaign in … | 18 |
| 9 | US20120110386A1 | Automated emergency power supply test using variable load bank stages | 17 |
| 10 | US20120105098A1 | Automated emergency power supply test using engine exhaust temperature | 16 |
Citation counts inside a searched corpus favour older filings — treat them as a signal of influence on later work, not as a marker of current commercial relevance.
Each row carries its publication number; clicking a row searches Eureka by that number.
Put your own technology through the same analysis
Eureka on the web
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →MCP server & REST API
When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →What the filing pattern tells a strategist
Three read-outs from the concentration, trend and citation data that matter for a filing or freedom-to-operate decision.
Filing is concentrated, not fragmented
The top 5 assignees combined account for 58 of the 81 records in scope, and the top 10 push that to 90.1%. A newcomer is not entering a field with dozens of small players to negotiate around — they are entering one where a handful of filers have already staked most of the claim space.
The 2021 peak has not been repeated
Filing activity rose to 19 records in 2021 and fell to 1 by 2024, the most recent year the trend can be treated as complete. That drop-off predates the current data window's tail, so it reflects a real slowdown in completed filings rather than a publication-lag artefact.
Older records still anchor the citation graph
The most-cited record in this dataset, on menu-driven management and operation technique, sits well ahead of the next tier, followed by a fault-diagnosis patent for engine-compressor sets at 110 citations. Both predate the 2021 filing peak, consistent with citation counts favouring earlier publications rather than signalling current commercial weight.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to maintenance & asset integrity patent landscape, with the prior art for and against each one.
Who is filing, and where the gaps sit
A small set of assignees hold most of the record volume; several IPC-adjacent sub-areas remain thin.
One assignee sets the pace
The leading assignee in the ranking holds 20 of the 81 records in scope, well ahead of fifth place at 5 and tenth place at 2. That gap between first and fifth position is the clearest sign of an incumbent with an established filing programme rather than a crowded, evenly matched field.
A thin tail below the top 10
Once the top 10 assignees are accounted for at 90.1% of all 81 records, the remaining 18 assignees in the ranking share the balance. Several of these appear tied to a single co-assignee pairing rather than a standalone filing programme, suggesting narrow, opportunistic filings rather than sustained portfolios.
US and EPO dominate the receiving-office mix
The United States receiving office accounts for 26 records and Europe (EPO) 15, with India, Australia, WIPO and Canada each in single digits. That split points to US and European markets as the primary battlegrounds for enforcement and freedom-to-operate checks in this field.
| Assignee | Recent year | YoY |
|---|---|---|
| Honeywell International Inc. | 0 | — |
| Schneider Electric USA, Inc. | 0 | — |
| Siemens AG | 0 | — |
| Fives Intralogistics S.p.A. | 0 | — |
| ELECTRONICS SYST SPA | 0 | — |
| CINETIC SORTING SPA | 0 | — |
| CONSERVAIR TECH | 0 | — |
| ZANCOLICH GIUSEPPE | 0 | — |
Where to take this from here
The dataset points to a concentrated field with a cooled filing rate and a handful of thin sub-areas. Turning that into a filing or licensing decision means going deeper on the specific claims and assignees involved.
Check freedom-to-operate against the leading assignees
With 71.6% of records held by five assignees, any new filing in flow measurement, electric/magnetic sensing or power-grid monitoring should be checked against those portfolios specifically, not the field in general.
Run a freedom-to-operate check in EurekaMap the under-claimed sub-areas before drafting
Dimensional-tolerance drift monitoring and mechanical-joint load sensing show fewer records than the dominant flow and power classes, which may leave room for a narrowly drafted first claim.
Explore white space in EurekaTrack the post-2024 filings as they publish
Because publication lags filing by roughly 18 months, 2025 and 2026 records are still arriving. Revisit the trend once those years are complete before concluding the field has cooled for good.
Set up a filing alert in EurekaCommon questions about this landscape
The assignee ranking for this dataset covers 28 companies, and it is heavily concentrated: the top 5 assignees together hold 58 of the 81 records in scope, or 71.6%. The single leading assignee holds 20 records on its own, well ahead of fifth place at 5 and tenth place at 2. This means a new entrant should expect to negotiate around a small number of established portfolios rather than a fragmented field of similarly sized players.
Filing peaked at 19 records in 2021 and fell to 1 record by 2024, a 95% drop over that span, which is the most recent year the trend can be read as complete. Figures for 2025 and 2026 are still incomplete because publication typically lags filing by around 18 months, so those final years understate real activity and should not yet be read as confirmation of a continued decline. The honest read is that the field cooled sharply after 2021, with the very latest trajectory still unresolved.
Flow, level and volume measurement (IPC class G01F) is the largest single category, appearing in 23.5% of the 81 records in scope. Electric and magnetic measurement (G01R) and power supply and grid systems (H02J) are tied just behind at 17.3% each, ahead of business/admin data processing (G06Q) at 13.6%. Because a single record can carry multiple IPC classes, these shares add up to more than 100%, but the pattern is consistent: physical sensing and power-systems claims outweigh pure software analytics in this field.
US7403850B1, assigned to Windrock Inc. and published in 2008, covers an automated fault-diagnosis system for engine-compressor sets that ties vibration signals to crankshaft phase-angle windows and uses statistical process control to set alarm thresholds against stored load-condition baselines. With 110 citations, it is one of the most-cited records in this dataset, indicating it shaped a meaningful amount of later filing in vibration-based diagnostics. Anyone drafting claims in phase-locked vibration monitoring for reciprocating machinery should review it closely, though citation volume reflects historical influence rather than current enforceability.
Several sub-areas adjacent to the dominant classes carry noticeably fewer records than flow measurement or power-grid monitoring, including dimensional-tolerance drift monitoring, mechanical-joint load-condition sensing, and cross-asset failure-mode statistical baselining. These sit next to dense classes like G01F and G01R rather than in isolation, which is exactly why they are worth checking rather than assuming they are empty. A narrowly drafted claim in one of these branches is more likely to clear prior art than a claim filed directly into the crowded flow-measurement or power-supply classes.
Research Maintenance & Asset Integrity Patent Landscape in depth with Eureka
Go past this page: query the whole maintenance & asset integrity patent landscape corpus yourself, in your own scope.
Every answer comes back with patent numbers you can open.
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.