Bogie Condition Monitoring Patents: Leaders & Filing Trends 2026
Filing growth compares 2021 (184 records) with 2024 (95) — 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 2,903 records in scope (CR5), not by the ranked leaders only.
What the bogie condition monitoring patent record shows
Bogie condition monitoring sits at the intersection of railway traffic control, braking systems and structural testing. The dataset behind this page covers 2,903 published records filed between 2015 and mid-2026, spanning sensor placement on bogies, wheel and track defect detection, and the transmission of state data to control systems. Filing activity peaked in 2019 at 215 records and has since receded, though the two most recent years are still filling in as publications catch up with filing dates.
Reading the ranking against the technology composition matters more than reading either alone. A leader with a strong position in B61L railway traffic control is defending different claim territory from one concentrated in B60T braking, even where both file under the same broad heading of bogie condition monitoring.
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Filing trend and technology composition
Two views of the same 2,903 records: how filing volume has moved year over year, and how those records distribute across the IPC subclasses that define the technical scope of bogie condition monitoring.
Filing trend, 2017-2026
Filings ran from 156 in 2017 to a peak of 215 in 2019, then declined to 95 by 2024 — a -48% move from the 2021 level of 184. 2025 and 2026 figures are partial because publication typically lags filing by around 18 months.
Technology composition by IPC subclass
B61L railway traffic control leads at 19.9% of the 2,903 records, followed by B60T vehicle brakes at 15.1% and B61K railway auxiliary equipment at 11.0%. Because a single record can carry multiple IPC classes, these shares sum to more than 100% and should be read against the full record total, not against each other.
Shares are the percentage of the 2,903 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Rolling Stock & Bogies: Bogie Condition Monitoring Patent Landscape with Eureka
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Try EurekaA representative claim and the most-cited prior art
US20210078619A1 — Railway condition monitoring device, railway vehicle bogie, railway vehicle, railway brake control device
A railway condition monitoring device includes an acquirer structured to be attached to a railway vehicle bogie and acquire state information on one or more state of vibration, speed, acceleration, sound, reflected light, image, temperature, humidity, and a wheel diameter, a determiner structured to be attached to a bogie, perform a determination of a state of a track on which the bogie travels or a state of the bogie based on the state information acquired by the acquirer, and provide the determination result, a transmitter structured to be attached to the bogie and transmit the determination result to an outside of the bogie, and a power supplier structured to be attached to the bogie.Filed by Nabtesco Corporation, published 2021-03-18.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US5403238A | Amusement park attraction | 279 |
| 2 | US20070208841A1 | Self-assembling wireless network, vehicle communications system, railroad wheel and bearing monitoring system… | 235 |
| 3 | EP1600351A1 | Method and system for detecting defects and hazardous conditions in passing rail vehicles | 215 |
| 4 | US20100263948A1 | Robotic vehicle | 189 |
| 5 | US20160367188A1 | Oral sensor alerting and communication system and developers' tool kit | 181 |
| 6 | US20100253519A1 | Underdeck carrier system for mobile containers for segregating product types in common shipment | 181 |
| 7 | US20180339720A1 | Integrated rail and track condition monitoring system with imaging and internal sensors | 177 |
| 8 | US5473990A | Ride vehicle control system | 169 |
| 9 | US5623878A | Dynamic ride vehicle | 152 |
| 10 | US20160282229A1 | Fault Prediction and Condition-based Repair Method of Urban Rail Train Bogie | 135 |
Citation counts favour older records simply because they have had longer to accumulate citations inside this searched corpus — treat them as a signal of influence on the field, not as a ranking of current technical importance.
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The record count tells you where claim space is dense; the trend tells you whether that density is still being defended or is settling into prior art. Both matter before drafting a new application in this space.
Leadership is real but not dominant
The five leading assignees together account for 471 of the 2,903 records in scope. That is a meaningful concentration, but it leaves the large majority of filings distributed across a long tail of single- and few-filing entrants — the field has not consolidated the way some adjacent rail technologies have.
Volume has cooled from its 2019 peak
Filing peaked at 215 records in 2019 and had fallen to 95 by 2024, the last year with reliably complete publication data. That decline does not necessarily mean commercial interest is fading — it may reflect claim space becoming occupied, pushing new filers toward adjacent or narrower claims instead.
Traffic control, not the bogie itself, anchors the field
B61L railway traffic control is the single largest class at 19.9% of records, ahead of B60T braking at 15.1% and B61F running gear and bogies at only 8.5%. Monitoring claims are more often framed around what the sensor data controls than around the bogie hardware carrying the sensor.
Aerospace assignees are active in this space
B64C aeroplane and helicopter classifications appear in 6.0% of records, and aerospace names sit among the co-assignee pairs with the strongest link counts in the dataset. Condition-monitoring architectures are evidently being reused across rail and aerospace landing-gear-adjacent structures.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to rolling stock & bogies: bogie condition monitoring patent landscape, with the prior art for and against each one.
Where to take this analysis
The dataset behind this page can be narrowed further — by jurisdiction, by specific IPC subclass, or by a single assignee's full filing history — to support a freedom-to-operate check or a first-filing strategy.
Run a freedom-to-operate check
Narrow the 2,903-record set to the specific sensor placement or data-transmission approach under consideration and check it against the leading assignees' active claim scope before drafting.
Explore in EurekaTrack the under-claimed branches
Set up ongoing monitoring on the thinner sub-areas identified here — wireless self-powered sensing and predictive bearing-wear analytics are showing filing activity but not yet concentration.
Explore in EurekaCommon questions about bogie condition monitoring patents
The ranking covers 100 assignees, with the leader holding 142 records against 2,903 total records in scope. The top five assignees combined hold 471 records, 16.2% of the field, and the top ten hold 723 records, 24.9% of the field. That leaves the majority of records spread across a long tail of smaller filers, so no single company controls the space outright.
Filing peaked in 2019 at 215 records and fell to 95 by 2024, a -48% decline from the 184 records filed in 2021. 2024 is the most recent year with reliably complete data, since publication typically lags filing by around 18 months, so figures for 2025 and 2026 will rise as more filings are published. The honest read is a cooling trend through 2024, not a collapse.
The largest single class is B61L, railway traffic control, covering 19.9% of the 2,903 records, followed by B60T vehicle brakes and braking at 15.1% and B61K railway auxiliary equipment at 11.0%. B61F, the class most specific to running gear and bogies themselves, accounts for only 8.5%, indicating most claims frame the bogie sensor data in terms of what it controls or triggers rather than the bogie hardware alone. Records often carry more than one class, so these figures overlap rather than sum to 100%.
Yes. B64C, the aeroplane and helicopter class, appears in 6.0% of the 2,903 records, and the strongest co-assignee pairings in the dataset are between aerospace operating entities at 15 shared records each, higher than any purely rail-based pairing. This reflects that vibration, temperature and structural-load monitoring architectures developed for landing gear and airframes transfer readily to rail bogies.
Sub-areas such as wheel-flat detection via acoustic signature, wireless self-powered bogie sensor nodes, and predictive bearing-wear algorithms show comparatively thin filing density relative to the dominant traffic-control and braking clusters. These branches sit adjacent to well-claimed territory rather than outside it, so a first filing there still needs to be checked carefully against the leading assignees' existing scope in B61L and B60T before drafting.
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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.