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Wayside Wheel Defect Detection Patents: Leaders & Trends 2026

Wayside Wheel Defect Detection Patents: Leaders & Trends 2026
https://www.patsnap.com/resources/blog/rd-blog/wayside-train-wheel-defect-detection-patent-landscape-patent-landscape/ · Patsnap · data cut-off 2026-08-31 · downloaded from the live page
Patent Landscape · Rail & Transit Systems
Wayside train wheel defect detection patents: who is filing, and where the claim space is still open

A data-backed look at wayside train wheel defect detection patents: who leads filings, how the technology mix breaks down across IPC classes, and where the white space sits.

847
Published Records
13%
Top-5 Share of All Records
+82%
Filing Growth 2021→2024
CN
Leading Jurisdiction

Filing growth = 2021 (28 records) → 2024 (51); 2024 is the last year we treat as complete. Top-5 share = the 5 largest assignees ÷ all 847 records in scope (CR5), not the ranked leaders only.

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Published byPatsnap Research··6 min readSourced from Patsnap Eureka
Overview

What this landscape covers

Wayside train wheel defect detection uses fixed trackside sensors — ultrasonic probes, acoustic arrays, vision systems and profile scanners — to catch wheel flats, cracks and profile wear without pulling a train out of service. The 847 records in scope span filings from 2015 through the 2026 cut-off and sit mostly under B61K (railway auxiliary equipment) and G01N (material analysis and testing), with meaningful overlap into vibration, imaging and structural-testing classes.

The filing curve peaked in 2018 at 94 records and has since settled into a lower but still-growing pattern, with the 2021-to-2024 window showing genuine expansion rather than a one-off spike. Ownership is moderately concentrated at the top but the ranked field runs long, meaning most of the claim space outside the leaders' core methods remains contestable.

Filing volume by year, 2015-2026
  1. 1SOUTHWEST JIAOTONG UNIV28
  2. 2NANJING TYCHO INFORMATION TECH22
  3. 3PROGRESS RAIL SERVICES CORP22
  4. 4BEIJING LEAD TIME SCI & TECH19
  5. 5Liu Runlei19
  6. 6SERVO CORP OF AMERICA19
  7. 7Ma'anshan Leishi Rail Transit Equipment Co., Ltd.18
  8. 8CHENGDU TIEAN SCI & TECH18
  9. 9CHENGDU LEAD SCI TECH CO LMT17
  10. 10CHINA RAILWAY SIYUAN SURVEY & DESIGN GRP CO LTD14
Source: Patsnap Eureka. Assignee ranking and totals. Derived from a Patsnap search on Wayside Train Wheel Defect Detection Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
The numbers

Filing trends and technology composition

Publication lags filing by roughly 18 months, so 2025 and 2026 will keep rising as later filings publish; the 2021-to-2024 span is the most reliable recent read on momentum.

A field that grew after its early peak

Filings ran hot early — 54 in 2017, peaking at 94 in 2018 — then cooled before rebuilding: 2021 to 2024 saw a genuine 82% increase (28 to 51 records), the strongest complete-year growth signal in the dataset.

A field that grew after its early peak0255075100542017942018201920202021202220232024202522026Most recent year is partial — publication lag means later filings are not yet visible.

Publication lags filing by roughly 18 months, so 2025 onwards are still filling in. Growth rates on this page therefore end at 2024; running them to the last bar would understate the field.

Auxiliary equipment and materials testing dominate the mix

B61K (railway auxiliary equipment) touches 62.5% of the 847 records, and G01N (material analysis and testing) touches 35.5% — the two anchor most filings. Imaging under G06T sits at just 2.4%, a much smaller footprint than the sensing classes around it.

Auxiliary equipment and materials testing dominate the mixB61K · Railway auxiliary equipment52962.5%G01N · Material analysis & testing30135.5%G01M · Testing machine & structure ba…22026.0%G01B · Measuring length & dimensions13916.4%B61L · Railway traffic control12514.8%G01J · Radiation & light measurement465.4%G01H · Measuring vibrations & sound283.3%G06T · Image data processing & genera…202.4%Other29835.2%

Shares are the percentage of the 847 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 Wayside Train Wheel Defect Detection Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.

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Prior art

Key patents shaping the field

Representative filing
CN214150567U2021-09-07

CN214150567U — coupling-water recovery device for train wheel flaw detection

北京主导时代科技有限公司

This utility model discloses a coupling-water recovery device for train wheel flaw detection, comprising a probe carrier, a water-collection housing fitted over the carrier, a storage tank, a recovery pipe and a negative-pressure pump. The housing collects a confluence outlet connected through the recovery pipe to the storage tank, with the pump linked to both, preventing splashing and pooling of coupling water on the wheel or track during ultrasonic testing. A complete flaw-detection system built around this recovery device is also disclosed.Filed by Beijing Leading Times Technology, 2021-09-07.

CN214150567U — patent drawing 1CN214150567U — patent drawing 2
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Most-cited records in this dataset
#Publication no.Patent titleCitations
1US5247338APlant for track-based detection of the wheel profile of train wheels92
2CN104608799A基于信息融合技术列车轮对踏面损伤在线检测与识别方法77
3US20060131464A1Train wheel bearing temperature detection74
4US4214647AAutomatic rail greasing apparatus69
5US5660470ARail mounted scanner67
6US20040261533A1Rail and train monitoring system and method65
7US6951132B2Rail and train monitoring system and method62
8US8942426B2On-train rail track monitoring system58
9US4856617ARailway lubricating system and method56
10CN1899904A列车轮对尺寸在线检测方法及装置54

Citation counts favour older records that have had more time to be cited; treat them as a signal of influence inside this corpus, 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.

Source: Patsnap Eureka. Citation counts and representative records. Derived from a Patsnap search on Wayside Train Wheel Defect Detection Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
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Signals

What the data tells a filing strategy

Four patterns worth acting on before drafting the next application in this space.

Concentration
13.0%
top 5 share of all 847 records

Leadership is present but not dominant

The leading assignee holds 28 records and the top 5 combined reach only 13.0% of the 847 records in scope. That leaves the bulk of the field to entrants outside the ranked leaders, which is unusual for a niche this technically specific.

Top 10 combined reach 23.1% of all records.
Growth
+82%
2021 to 2024 filing growth

Momentum rebuilt after the 2018 peak

Filings peaked at 94 in 2018, cooled, then climbed again: 28 records in 2021 to 51 in 2024. That three-year span is the cleanest complete-year growth signal available, since 2025 and 2026 are still filling in.

2017 opened at 54 records; 2018 peaked at 94.
Geography
576
China receiving-office filings

Filing activity is heavily China-centred

China accounts for 576 of the receiving-office filings, well ahead of the United States at 71, South Korea at 30 and the EPO at 29. Freedom-to-operate checks that skip Chinese filings will miss most of the field.

Canada (23) and Australia (19) round out the tracked offices.
Technology mix
62.5%
records touching B61K

Auxiliary equipment claims carry the field

B61K (railway auxiliary equipment) appears in 62.5% of the 847 records and G01N (material analysis and testing) in 35.5%. Imaging-specific claims under G06T sit at only 2.4%, suggesting vision-based detection is comparatively under-claimed relative to acoustic and ultrasonic methods.

A record can carry several IPC classes, so shares overlap.
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Co-filing patterns
AssigneeCo-assigneeShared families
Southwest Jiaotong UniversityChengdu Leading Technology Co., Ltd.10
Southwest Jiaotong UniversityChengdu Tiean Technology Co., Ltd.5
Nanjing Tycho Information Technology Co., Ltd.Nanjing University of Aeronautics and Astronautics3
General Electric CompanySTRECKER THOMAS2
General Electric CompanySTEVENS DANIEL KURT2
General Electric CompanySHANAHAN THOMAS2
General Electric CompanyMETABCHKE MILES2
General Electric CompanyHESSER PETER2

Ten co-assignee pairs appear in the dataset; the strongest pairing recurs 10 times, pointing to a small number of university-industry partnerships doing most of the joint development in this niche.

Source: Patsnap Eureka. Co-assignee relationships and derived observations. Derived from a Patsnap search on Wayside Train Wheel Defect Detection Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
Next steps

Where to take this analysis

The numbers above answer what has been filed. The next questions are what to file next and where the gaps sit.

Map the white space by IPC subclass

Cross the technology composition against the assignee ranking to find subclasses with high record counts but no concentrated leader — those are the branches most open to a fresh filing strategy.

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Check freedom to operate against the top filers

With the top 10 holding 23.1% of all 847 records and China accounting for the majority of receiving-office activity, a targeted FTO review should start with the Chinese-filed claims before extending to other jurisdictions.

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Track the growth curve past 2024

The confirmed 82% growth from 2021 to 2024 is likely to continue once 2025 and 2026 filings finish publishing; revisit the trend in a year to see if the rebuilding pattern held.

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Source: Patsnap Eureka. Forward-looking reading of the same dataset. Derived from a Patsnap search on Wayside Train Wheel Defect Detection Patent Landscape covering 2015–2026, data cut-off 2026-08-31. Counts reflect published records only and shift as new filings publish.Run this in Eureka MCP
FAQ

Common questions about this landscape

Answers are grounded in the same dataset. Derived from a Patsnap search on Wayside Train Wheel Defect Detection Patent Landscape covering 2015–2026, data cut-off 2026-08-31. 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.

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