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The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →Quench detection is the problem of noticing, fast enough to matter, that a superconducting magnet has begun to lose its superconducting state. Damage detection is the related but broader problem of sensing structural or electrical faults before they propagate. The dataset behind this page pulls 924 published records filed between 2015 and 2026 that combine quench-specific search terms — slow normal zone propagation, voltage-based detection, fibre optic sensing, Hall sensing, detection time, noise immunity and protection energy extraction — with a damage or current-distribution monitoring frame.
Because publication typically lags filing by around 18 months, the most recent year in the trend line understates real activity; treat the last one to two years as a floor, not a ceiling.
Pick a task. Every answer cites the patents behind it.
Two views of the same 924 records: how filing volume has moved year over year, and which IPC subclasses carry the claim density.
Filings rose from 31 in 2017 to a peak of 71 in 2022, then declined toward 9 in the most recent, still-partial year. Read the tail end cautiously given publication lag, but the shape through 2022–2024 already shows the growth phase behind it rather than ahead of it.
G01N (material analysis & testing) and G01R (electric & magnetic measurement) are the two largest subclasses at 26.3% and 21.3% of records respectively, ahead of G01M (testing machine & structure balance) at 12.8% and H01F (magnets, inductors & transformers) at 11.3%. H02H, the protective circuit class that governs what happens once a quench is confirmed, sits lower at 7.4% — a gap worth noting for anyone filing on response rather than detection.
Shares are the percentage of the 924 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about quench and damage detection in hts magnets and every answer comes back with the patent numbers behind it.
Try EurekaA structural damage detection system for providing simultaneous monitoring of crack parameters utilising substantially parallel co-planar arrays of fibre optic cables.Filed by British Aerospace and granted in 1998, this record predates most of the dataset and anchors the fibre-optic sensing branch of the search.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20140309805A1 | Vehicle damage detection and indication | 196 |
| 2 | US5327358A | Apparatus and method for damage detection | 128 |
| 3 | US20120191373A1 | Event detection system having multiple sensor systems in cooperation with an impact detection system | 126 |
| 4 | US9218698B2 | Vehicle damage detection and indication | 113 |
| 5 | US20040225474A1 | Damage tolerance using adaptive model-based methods | 101 |
| 6 | US20120188078A1 | Damage detection and remediation system and methods thereof | 95 |
| 7 | US6748791B1 | Damage detection device and method | 91 |
| 8 | US20090301198A1 | Methods, Apparatuses, and Systems for Damage Detection | 90 |
| 9 | US6727725B2 | Motor bearing damage detection via wavelet analysis of the starting current transient | 74 |
| 10 | US7469595B2 | Piezoelectric damage detection device | 69 |
Citation counts favour older filings that have had longer to accumulate references — read them as a signal of influence within this corpus, not of current commercial weight.
Each row carries its publication number; clicking a row searches Eureka by that number.
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 →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 →Three patterns stand out once volume, concentration and technology mix are read together.
With the leader at 39 records and the top 5 combined covering only 12.8% of the 924 records in scope, no single filer has locked up the field. The top 10 combined reach 20.3% — still leaving roughly four-fifths of the corpus outside any concentrated hold.
The 2022 peak of 71 records has not been matched since, with the latest partial year at 9. Several of the more active named assignees show zero filings in the latest year, consistent with a maturing rather than an emerging field.
G01N and G01R sensing-related classes each cover far more of the corpus than H02H, the protective circuit class governing energy extraction once a quench is confirmed. That imbalance suggests the response side of the workflow carries comparatively less claim density.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to quench and damage detection in hts magnets, with the prior art for and against each one.
The ranked leaders span energy, aerospace, heavy industry and defense-adjacent research, with only a handful of recurring co-assignee pairs suggesting most work is done independently rather than through joint filings.
The top-ranked assignee holds 39 of the 924 records — enough to lead the field but far short of dominating it, which keeps the door open for new entrants building a focused portfolio.
Only 10 co-assignee pairs appear across the dataset, and the strongest of these links two Japanese organisations on a handful of shared filings. Most assignees are filing solo rather than through joint ventures or shared research programmes.
China leads receiving offices with 254 records, followed by the United States at 231, EPO at 115, Japan at 82, WIPO/PCT at 53 and South Korea at 40 — a genuinely multi-jurisdictional field rather than one anchored to a single market.
| Assignee | Recent year | YoY |
|---|---|---|
| Tokamak Energy Ltd | 0 | — |
| Subaru Corporation | 0 | — |
| Toshiba Corporation | 0 | -100% |
| Rech 2000 Inc | 0 | -100% |
| Westinghouse Electric Corporation | 0 | — |
| THREE SMITH GRP LTD | 0 | — |
| Mitsubishi Heavy Industries, Ltd. | 0 | — |
| METIS DESIGN CORP | 0 | — |
The landscape numbers point to where to look closer, not to a final filing decision.
H02H protective circuit arrangements sit well below the sensing classes in claim density. Anyone with a workable energy-extraction or protection-circuit approach has more room to build a defensible position than someone entering pure voltage-based detection.
Explore protective circuit filingsLow concentration at the top does not mean an empty field — it means the risk is distributed across many smaller holders rather than one blocking incumbent. A freedom-to-operate search still needs to cover the full ranked set, not just the leader.
Run a freedom-to-operate check in EurekaQuench detection specifically targets the moment a superconducting magnet begins transitioning out of its superconducting state, typically sensed through voltage taps, fibre optics or Hall sensors watching for a resistive normal zone. Damage detection is the broader category covering structural or electrical faults that may or may not be quench-related. This dataset combines both search frames because the sensing techniques — voltage monitoring, fibre-optic strain sensing, current-distribution monitoring — overlap heavily across the two problems. In practice, most filings that mention detection time and noise immunity are quench-specific, while structural crack-monitoring patents like the featured fibre-optic record sit on the damage-detection side.
The ranking covers 100 assignees and is led by a filer with 39 records out of 924 total, with fifth place at 16 and tenth place at 13. That is a meaningful lead but not a dominant one — the top 5 assignees combined account for only 12.8% of all 924 records in scope, and the top 10 combined reach 20.3%. This tells you the field has one identifiable leader surrounded by a long tail of moderate and single-filing entrants rather than two or three firms controlling the space.
No, not on the current data. Filings rose from 31 in 2017 to a peak of 71 in 2022, then declined toward 9 in the most recent, still-partial year. Because publication typically lags actual filing by around 18 months, the last one to two years will always look weaker than they eventually turn out to be, but the decline from the 2022 peak through the following years is consistent enough to read as a genuine slowdown rather than a reporting artefact. Several actively-filing assignees also show zero filings in the latest year.
Material analysis and testing (G01N) and electric/magnetic measurement (G01R) are the two largest IPC subclasses, covering 26.3% and 21.3% of the 924 records respectively. Testing machine and structural balance (G01M) and magnets/inductors/transformers (H01F) follow at 12.8% and 11.3%. Protective circuit arrangements (H02H), which cover what happens once a quench is confirmed rather than how it is detected, sit lower at 7.4% — worth noting if you are evaluating where claim density is lighter.
The technology composition data points toward the response side of the workflow — protective circuit arrangements and energy extraction sit at 7.4% of records, well below the sensing-heavy classes above it. Co-assignee data also shows only 10 joint-filing pairs across the whole dataset, meaning most organisations are working alone rather than pooling detection and protection expertise. A first claim combining a specific sensing modality — fibre-optic strain arrays or Hall-sensor current mapping — with a defined protective-circuit response is likely to sit on less crowded prior art than a pure detection claim.
Go past this page: query the whole quench and damage detection in hts magnets 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.