Identifying Technological Innovation Capability of High-Speed Rail Industry Based on Patent Analysis

Liu, Xin; Yang, Xi

doi:10.1109/icitm.2019.8710710

Cited by 6 publications

(5 citation statements)

References 15 publications

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“…This came out of different science and technology research projects, including different stakeholders (e.g., research institutes and laboratories, universities, academicians) working on several core technologies (e.g., EMU system assembly, car body, bogie, train control network system, and brake system) and other complementary technologies (e.g., air-conditioning system, toilet, door, window, windshield, flow receiving device, auxiliary power supply system, interior decoration materials, and seat). All of this made China one of the most active patent-filing countries in HSR technologies and the leader in many HSR technological innovations [4].…”

Section: A Brief History Of Randi In Hsr Infrastructurementioning

confidence: 99%

Assessing Innovations in High-Speed Rail Infrastructure

Ali

Kurt

Isberner

et al. 2023

Springer Proceedings in Business and Economics

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Innovations in high-speed rail (HSR) have had substantial effects on different stakeholders within and outside the railway system. As part of the European Shift2Rail research programme, several innovative solutions are developed for, among others, improving the HSR infrastructure. The Joint Undertaking behind this research program has set objectives for these innovations in terms of punctuality, capacity, and life cycle costs. With a focus on infrastructure-related innovations for HSR, this paper aims at assessing their impacts in relation to these targets. We review the relevant research literature about the effects of HSR innovations and their assessment. The paper presents a hybrid assessment methodology combing different approaches to assess capacity, punctuality, and cost effects. This contributes to reducing the existing gap that is found in the research literature. Based on a reference scenario for HSR line and collected data from different stakeholders, the results indicate that infrastructure innovations in HSR, being developed within the European Shift2Rail research programme, can contribute to reaching the target set for punctuality. Further innovations in HSR infrastructure and/or other railway assets may be needed to reach additional targets and for more accurate improvement values giving more insights into their impacts.

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Section: A Brief History Of Randi In Hsr Infrastructurementioning

confidence: 99%

Assessing Innovations in High-Speed Rail Infrastructure

Ali

Kurt

Isberner

et al. 2023

Springer Proceedings in Business and Economics

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“…Since the 21st century, the research related to PHM technology has made great progress, mainly reflected in the research of health management and other disciplines. In terms of the top-level design of the PHM system, the aerospacerelated research is relatively in-depth [24], and some progress has been made in the PHM research in the fields of machinery, electromechanical, and electronics. The operation safety of the subway has become the research focus of the subway operating companies.…”

Section: Related Workmentioning

confidence: 99%

Analysis Platform of Rail Transit Vehicle Signal System Based on Data Mining

Li,

2023

IJCAI

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According to the increasing demand of interactive information of rail transit on-board signal equipment, a rail transit on-board monitoring and maintenance system based on data mining is proposed. The association rules for operation data acquisition are defined and based on these rules a correlation rules algorithm is proposed to obtain more reliable understanding and operation quality evaluation of train operation information. A new approach for the safety analysis is proposed for the analysis of failure mode of rail braking system. The proposed approach uses Bayes method reasoning to introduce reliability and probability analysis of braking system, hence guiding the maintenance strategy of the system. From a lot of logs, quickly find key issues, applied in the train test and repair field. The simulation experiment results show that after analyzing the simulation data and the curve, the system extraction results have certain error in the manual calculation results, and the error value is between 0.5 and 0.6, but the overall meets the actual work needs, and optimize the invalid data to reduce the error. The reliable operation and maintainability of the system are verified.Povzetek: Razvit je sistem za spremljanje železniškega prometa s podatkovnim rudarjenjem z uporabo Bayesove metode za zanesljivost.

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“…In addition to the quantitative analysis methods, the qualitative analysis method of "(C) Technology Mapping Analysis (TM)" was also used in previous studies. Through "(C) Technology Mapping Analysis (TM)", the importance of the level of technology for each area was obtained, and priorities for technology development were identified [21,24,[29][30][31]38,40,[45][46][47][48][49][50][51]. In addition to predicting promising technology, previous studies have identified vacant technology by analyzing patent information of analysis target nodes through "(D) Generative Topographic Mapping Analysis (GTM)", identifying empty technology [24,27,28,40,52].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Du et al attempted to analyze the market by analyzing the invention patents filed by Thales SEC Transportation in the field of train signal control technology, but there is a limitation in that it only identified trends [53]. Liu and Yang have attempted to explore the technological innovation capabilities (TICs) of high-speed railways (HSRs) using patent information, but there is a limit to the limited use of patent information [51]. Peng and Yu accessed patent data from the patent information platform of China's Intellectual Property Network and calculated the quantity and composition of patents held by China's two railway systems, but the country to be analyzed has a limitation of bias [55].…”

Section: Literature Reviewmentioning

confidence: 99%

Patent Data Analytics for Technology Forecasting of the Railway Main Transformer

et al. 2022

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The railway main transformer is considered one of the most important electrical equipment for trains. Companies and research institutes around the world are striving to develop high-performance railway main transformers. In order to be the first mover for railway main transformer technology, companies and research institutes should predict vacant technology based on the analysis of promising detailed technology areas. Therefore, in this study, a patent analysis to predict vacant technologies based on identified promising IPC technology areas is provided. In order to identify promising detailed IPC technology areas, the technology mapping analysis, the time series analysis, and the social network analysis are conducted based on the patent-IPC matrix, extracted from the data information of 707 patents from the patent database of Korea, China, Japan, United States, Canada, and Europe. Then, through the GTM analysis based on promising detailed IPC technology areas, one vacant technology node and three analysis target nodes surrounding the vacant technology node are obtained to predict vacant technologies. From the analysis, we predict the following three groups of vacant technologies: (1) blowerless technology, (2) oil-free technology, and (3) solid-state technology. This study provides insights on the technology trend in railway main transformers, as well as the analysis framework for the development of R&D strategies based on the patent data.

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Identifying Technological Innovation Capability of High-Speed Rail Industry Based on Patent Analysis

Cited by 6 publications

References 15 publications

Assessing Innovations in High-Speed Rail Infrastructure

Assessing Innovations in High-Speed Rail Infrastructure

Analysis Platform of Rail Transit Vehicle Signal System Based on Data Mining

Patent Data Analytics for Technology Forecasting of the Railway Main Transformer

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