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The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →Filing growth compares 2021 (10 records) with 2024 (5) — 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 47 records in scope (CR5), not by the ranked leaders only.
This landscape covers patent families addressing substation asset condition monitoring — partial discharge detection, dissolved gas analysis, sensor retrofit installation, and the diagnostic and data-integration layers built on top of them. The search combines monitoring-method terms with the practical constraints operators actually file around: retrofit sensor installation, trend analysis, diagnostic thresholds, false indication rates, remaining-life estimation and data integration platforms. The scope spans 2015 through the 2026-07-31 cut-off, giving a decade-plus view of how claim activity has moved from core sensing hardware toward data and diagnostics.
Forty-seven published records sit in scope, ranked across 43 assignees. Because publication lags filing by roughly eighteen months, the 2025 and 2026 counts are necessarily undercounted and should not be read as a slowdown.
Pick a task. Every answer cites the patents behind it.
Two views of the same 47-record set: how filing activity has moved year over year, and which IPC subclasses carry the claim density.
Filings rose from zero in 2017 to a peak of 10 in 2021, then declined to 5 by 2024 — a -50% move over that span. 2025 and 2026 counts will continue to fill in as publications catch up with filing dates.
G01R (electric and magnetic measurement) appears in 83.0% of the 47 records, far ahead of H01H switchgear claims (25.5%) and H01F transformer/inductor hardware (23.4%). AI-based computing (G06N) and business-process data platforms (G06Q) each sit at 12.8-14.9%, marking where the field is still building out software claims around a mature sensing base. Records can carry multiple classes, so these shares sum to more than 100%.
Shares are the percentage of the 47 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 asset condition monitoring in substations and every answer comes back with the patent numbers behind it.
Try EurekaThe disclosure covers a method, apparatus and system for monitoring ultra-high frequency partial discharge in a hydro-generator: a partial discharge pulse sequence is cleaned using a cleaning threshold to yield a valid pulse sequence, redundant data filtering is applied per data unit to produce a first target pulse sequence for short-period monitoring, and sub-sequences identified as discharge events are associated by amplitude statistics into a second target pulse sequence.Filed by China Energy Science and Technology Research Institute, published 2025-11-20 — illustrates the pipeline-style claim structure now common in UHF partial discharge processing.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US6774639B1 | Partial discharge monitoring system for transformers | 100 |
| 2 | US20170011612A1 | System and method for monitoring and controlling a transformer | 78 |
| 3 | WO2001018554A1 | Partial discharge monitoring system for transformers | 23 |
| 4 | US20210241544A1 | Platform for analyzing health of heavy electric machine and analysis method using the same | 16 |
| 5 | EP1222472A1 | Partial discharge monitoring system for transformers | 16 |
| 6 | CN201576071U | 气体绝缘组合电器局部放电监测装置 | 11 |
| 7 | US9959736B2 | System and method for monitoring and controlling a transformer | 7 |
| 8 | CN121164851A | 一种基于多参量融合识别的开关柜局部放电在线监测方法 | 4 |
| 9 | EP1222472B1 | Partial discharge monitoring system for transformers | 3 |
| 10 | CN121091006A | 一种基于人工智能的变压器智能监测方法及系统 | 2 |
Citation counts favour older records simply because they have had longer to accumulate citations within the searched corpus — treat this as a signal of influence, not of current technical importance.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. 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 the raw counts are set against their denominators.
The top 5 assignees hold 66.0% of all 47 records and the top 10 hold 83.0% — the leader alone accounts for 11 records. That leaves the remaining 33-plus assignees filing once or twice each, which is typical of a field where a research pairing and a handful of grid operators drove early claim activity and everyone else is filing defensively or opportunistically around it.
Annual filings rose from zero in 2017 to a peak of 10 in 2021, then fell to 5 by 2024 — a -50% move over that three-year window. Because publication lags filing by about 18 months, the 2025-2026 figures are still incomplete and should not be read as confirming a further decline.
G01R measurement claims sit in 83.0% of records, with switchgear (H01H, 25.5%) and transformer hardware (H01F, 23.4%) well behind. AI-based diagnostics (G06N, 14.9%) and business-data platforms (G06Q, 12.8%) are present but far thinner, indicating the sensing layer is heavily claimed while the analytics layer built on top of it is not.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to asset condition monitoring in substations, with the prior art for and against each one.
| Assignee | Co-assignee | Shared families |
|---|---|---|
| Transgrid | University of Technology Sydney | 11 |
| Transgrid | UNSWORTH JOSEPH | 1 |
| University of Technology Sydney | UNSWORTH JOSEPH | 1 |
| GE Vernova Infrastructure Technology LLC | GE Technology LLC | 1 |
Only 4 co-assignee pairs appear in this set, and the strongest pairing links a grid operator with a university partner at 11 shared records — a research-collaboration structure rather than a broad industry alliance.
The ranked leaders account for most of the volume, but recent-year momentum has gone flat across the assignees tracked for year-over-year change, and the technology chips below mark where claim density is thin.
The top-ranked assignee holds 11 of the 47 records in scope, more than double the fifth-place holder's 3. That gap suggests an early, sustained filing programme rather than a single burst of activity.
Positions two through five each hold a handful of records, populated by grid operators, high-voltage equipment manufacturers and transformer specialists rather than software-first entrants — consistent with the hardware-heavy IPC mix.
Every assignee tracked for year-over-year momentum shows zero filings in the latest year, including a -100% YoY drop for one infrastructure-technology filer. This reads as a publication-lag artefact as much as a real pullback, given the 18-month gap between filing and publication.
| Assignee | Recent year | YoY |
|---|---|---|
| Transgrid | 0 | — |
| University of Technology Sydney | 0 | — |
| HSP HOCHSPANNUNGSGERTE GMBH | 0 | — |
| GE Vernova Infrastructure Technology LLC | 0 | -100% |
| Siemens Energy Global GmbH & Co. KG | 0 | — |
| VIBROSYSTM INC | 0 | — |
| VIRGINIA TRANSFORMER CORP | 0 | — |
| POWER GRID OF INDIA | 0 | — |
The dataset points to specific next steps depending on whether the goal is freedom-to-operate, a filing strategy, or tracking a competitor.
The five most-cited patents in this set, several sharing near-identical titles around transformer partial discharge monitoring, define the prior-art baseline that any new sensing claim has to clear.
Run a freedom-to-operate search →G06N and G06Q classes sit well below the G01R baseline, meaning diagnostic and data-platform claims built on established sensing hardware face less prior art than another measurement-hardware filing would.
Explore white space in Eureka →With the leading assignee holding 11 records and recent-year momentum flat across the board, a fresh filing burst from any top-5 player would be an early signal worth monitoring.
Set up assignee tracking →This landscape identifies 47 published patent families in scope, filed between 2015 and the 2026-07-31 data cut-off. The search combines monitoring methods such as partial discharge monitoring and dissolved gas analysis with practical filing terms like sensor installation retrofit, trend analysis and remaining-life estimation. Because publication lags filing by roughly 18 months, the true number of filings in 2025 and 2026 will be higher than currently shown once those applications publish.
The ranking covers 43 assignees, with the leader holding 11 of the 47 records in scope — well ahead of fifth place, which holds 3. The top 5 assignees together account for 66.0% of all records, and the top 10 account for 83.0%, meaning a small group of grid operators, university researchers and high-voltage equipment manufacturers control most of the documented claim space while the rest is a long tail of single-filing entrants.
Filings rose from zero in 2017 to a peak of 10 in 2021, then fell to 5 by 2024, a -50% change over that three-year span. That is the most reliable read available, because 2021-2024 are complete years; the 2025 and 2026 figures shown in any chart are still filling in due to the roughly 18-month gap between filing and publication, so they should not be read as confirming a continued decline.
Electric and magnetic measurement (IPC class G01R) appears in 83.0% of the 47 records, making it by far the densest claim area, covering the core sensing methods behind partial discharge and dissolved gas monitoring. Switchgear (H01H, 25.5%) and transformer/inductor hardware (H01F, 23.4%) follow well behind. AI-based diagnostics (G06N) and business-data platforms (G06Q) sit at 12.8-14.9%, indicating the analytics and data-integration layers built on top of established sensing hardware are comparatively less claimed.
The thinner IPC branches relative to the 83.0% G01R baseline are AI-based diagnostic thresholding (G06N, 14.9%), business-layer data integration and asset scoring (G06Q, 12.8%), and remaining-life estimation logic layered on existing sensor data. These areas depend on established measurement hardware but are not yet densely claimed themselves, making them more promising starting points for a first claim than another core sensing-hardware filing would be.
Go past this page: query the whole asset condition monitoring in substations 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.
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