Reciprocating Compressor Patents: Who Leads, Where Gaps Are 2026
- Filing peaked in 2018 at 201 records and has since declined toward the mid-80s by 2022, suggesting the core mechanical claim space around pulsation and vibration damping is largely staked out.
- F04B dominates at 578 records but four of the next five IPC subclasses are digital/AI classes (G05B, H04L, G06N, H04B) — filings increasingly frame vibration control as a sensing-and-analytics problem, not just a mechanical one.
- The most-cited records are industrial-IoT platform patents, not compressor-specific mechanisms so influence in this corpus currently sits with data-collection infrastructure rather than with the physical damping hardware.
Filing growth compares 2021 (60 records) with 2024 (28) — 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 1,296 records in scope (CR5), not by the ranked leaders only.
What this landscape covers
This dataset tracks patent families addressing noise reduction, vibration damping and pulsation control in reciprocating and piston compressors — a mature mechanical subsystem that intersects, in recent years, with condition-monitoring and predictive-maintenance software. Filings span 2015 through mid-2026, with 1,296 total published records forming the basis of the assignee ranking and technology composition below.
Publication typically lags filing by around 18 months, so the 2025-2026 counts in any trend chart understate real filing activity for those years. Treat the most recent one to two years as a floor, not a ceiling.
Filing trend and technology composition
Two views of the same 1,296-family dataset: how filing volume has moved year over year, and which IPC subclasses carry the claim density.
A 2018 peak followed by a flat-to-declining plateau
Annual filings rose from 26 in 2017 to a peak of 201 in 2018, then settled near a midpoint of 86 in 2022. That pattern reads as an early wave of core mechanical filings followed by a slower, steadier stream — not a technology in early growth.
Mechanical core, software overlay
F04B (positive-displacement pumps) leads with 578 records, roughly double the next subclass. But G05B, H04L, G06N, H04B and G06K together account for a large share of the corpus, indicating that a meaningful portion of recent filings position vibration and pulsation control as a controls-and-analytics problem rather than a purely mechanical one.
Shares are the percentage of the 1,296 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
Go deeper on Reciprocating Compressor Noise and Vibration with Eureka
This page is one run against one query. Ask Eureka your own question about reciprocating compressor noise and vibration and every answer comes back with the patent numbers behind it.
Try EurekaRepresentative and most-cited records
Dynamic variable orifice for compressor pulsation control (US20150204317A1)
An apparatus for providing a selectively variable orifice size for pulsation control in a reciprocating compressor system includes a rotatable upper windowed plate and a fixed lower windowed plate, aligned along a central axis to form a central cylindrical port. The plates have mating contours allowing the upper plate to rotatably slide over the fixed lower plate so their ports can be selectively aligned to create any desired orifice size for pulsation control. The windowed plates can be flat, conical, or a combination.Filed by ACI Services, Inc., published 2015-07-23. Abstract truncated as provided in the underlying record.
| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | US20190339688A1 | Methods and systems for data collection, learning, and streaming of machine signals for analytics and mainten… | 972 |
| 2 | US20200348662A1 | Platform for facilitating development of intelligence in an industrial internet of things system | 730 |
| 3 | US20210157312A1 | Intelligent vibration digital twin systems and methods for industrial environments | 713 |
| 4 | US20180284758A1 | Methods and systems for industrial internet of things data collection for equipment analysis in an upstream o… | 594 |
| 5 | US20200225655A1 | Methods, systems, kits and apparatuses for monitoring and managing industrial settings in an industrial inter… | 561 |
| 6 | US20200103894A1 | Methods and systems for data collection, learning, and streaming of machine signals for computerized maintena… | 511 |
| 7 | US20190171187A1 | Methods and systems for the industrial internet of things | 457 |
| 8 | US20190033845A1 | Methods and systems for detection in an industrial internet of things data collection environment with freque… | 408 |
| 9 | WO2019028269A2 | Methods and systems for detection in an industrial internet of things data collection environment with large … | 391 |
| 10 | US20220108262A1 | Industrial digital twin systems and methods with echelons of executive, advisory and operations messaging and… | 385 |
Citation counts favour older, foundational filings within the searched corpus and are a signal of influence, not of current commercial importance.
Each row carries its publication number; clicking a row searches Eureka by that number.
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Three read-throughs from the trend, the IPC split and the citation table that matter for anyone deciding where to file next.
The mechanical wave has crested
Filing volume roughly halved between the 2018 peak and 2022, and the trend line does not show a second wave. New entrants filing narrow mechanical claims on orifice geometry or valve damping are filing into a plateau, not a growth curve.
Controls and AI classes are catching up to the mechanical core
F04B still leads by a wide margin, but G05B, H04L and G06N collectively represent a large adjacent block. Read this as evidence that pulsation and vibration control is increasingly claimed through sensing, prediction and control-loop software layered on top of established mechanical hardware.
Influence sits with IoT platforms, not compressor mechanisms
The most-cited documents in this corpus are industrial-IoT and digital-twin platform patents rather than compressor-specific pulsation hardware. That tells filers the highest-influence prior art to search against is often outside the F04B class entirely.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to reciprocating compressor noise and vibration, with the prior art for and against each one.
Who is filing, and where the momentum has gone
The assignee ranking behind this landscape spans established compressor and appliance manufacturers alongside industrial-IoT portfolio holders. Recent-year momentum figures show a broad pullback across the most active filers.
Multiple top filers show zero activity in the latest year
Several of the most active historical assignees, including compressor-portfolio holders and consumer-electronics manufacturers, recorded zero filings in the most recent year with year-on-year declines of -100%. Given the roughly 18-month publication lag, some of this is reporting lag rather than a genuine stop in R&D.
Co-filing is thin and concentrated in a few relationships
Only ten co-assignee pairs appear across the corpus, and the strongest pairs — involving individual named inventors alongside corporate assignees — reach just three joint filings. This is a field where most patents are filed by a single assignee rather than through joint development structures.
Filing is US-centred with a secondary EPO and Japan presence
The United States receives more than three times the filings of the next-largest office, the EPO, with Japan, WIPO/PCT, China and Germany trailing further behind. Anyone clearing freedom to operate outside the US should not assume US-only prior art coverage is sufficient.
| Assignee | Recent year | YoY |
|---|---|---|
| Strategic IoT Portfolio 2016 LLC | 0 | -100% |
| LG Electronics | 0 | -100% |
| Best Power Technology Limited Partnership | 0 | — |
| Panasonic Corporation (Japan) | 0 | — |
| HINDERKS MITJA VICTOR | 0 | — |
| Enerco Limited | 0 | -100% |
| Mitsubishi Electric Corporation | 0 | — |
| Tecumseh Products Company | 0 | — |
Where to take this analysis
The trend and assignee data point to a mechanically mature field being reshaped by digital monitoring claims. Two directions follow from that.
Map the controls/AI overlap in detail
With G05B, H04L and G06N together representing a large share of filings, a focused search across those subclasses against F04B would clarify how much genuinely new claim territory exists in sensor-driven pulsation control versus repackaged monitoring claims.
Explore this overlap in EurekaVerify freedom to operate against the most-cited platform patents
Because the highest-citation records in this corpus are industrial-IoT platforms rather than compressor mechanisms, any product combining vibration sensing with cloud analytics should be checked against that platform-patent set, not only against F04B prior art.
Run a citation check in EurekaCommon questions on this landscape
The corpus shows filing concentrated among a mix of compressor-industry portfolio holders, consumer-electronics manufacturers and individual named inventors, rather than a single dominant assignee. Several of the most active filers historically, including compressor-portfolio investment vehicles and appliance makers, show zero filings in the most recent year, which may reflect either a genuine slowdown or the roughly 18-month lag between filing and publication. For an up-to-date ranking, checking the assignee table alongside recent-year momentum is more informative than the raw all-time count alone.
Filing volume peaked in 2018 at 201 records and had fallen to a midpoint of 86 by 2022, indicating the field is past its highest-growth phase for core mechanical claims. Activity has not stopped, but the plateau suggests the foundational mechanical approaches to pulsation and vibration damping are well covered. Newer filings increasingly frame the problem through sensing and control software rather than pure mechanism, which is a more open area.
F04B, the positive-displacement pumps subclass, is the dominant classification with 578 of the 1,296 records in this dataset. A substantial secondary cluster sits in control and digital classes — G05B for control and regulating systems, H04L and H04B for data transmission, and G06N for AI-based computing — reflecting the shift toward predictive and sensor-fused approaches to vibration management. Searching across both the mechanical and digital classes is necessary for a complete prior-art picture.
Compared to the dense F04B core, sub-areas such as active pulsation dampener tuning, valve-plate acoustic damping materials and sensor-fused predictive pulsation control show comparatively thinner, more mechanically specific claim density. These are places where a well-drafted claim combining a defined mechanical structure with a specific control or sensing method may still find open space. Co-assignee filing is also thin across the whole corpus, at only ten pairs, suggesting joint-development claim strategies are underused.
Citation counts within a searched corpus tend to favour older, broadly applicable filings, and the top five most-cited records here are industrial-IoT and digital-twin platform patents describing data collection and machine analytics generally, not compressor-specific hardware. That does not mean compressor mechanism patents are unimportant; it means those platform patents have been cited widely because they underpin many downstream monitoring applications, including but not limited to compressors. Anyone building a monitoring product should search freedom-to-operate against that platform-patent set specifically.
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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.