Open Access
ARTICLE
A Study on Technological Dynamics in Structural Health Monitoring Using Intelligent Fault Diagnosis Techniques: A Patent-Based Approach
Saqlain Abbas1,2,*, Zulkarnain Abbas3, Xiaotong Tu4, Yanping Zhu1
1 Institute of Vibration, Shock and Noise, State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong
University, Shanghai, 200240, China
2 Department of Mechanical Engineering, University of Engineering and Technology Lahore, Narowal Campus, Narowal, 51600,
Pakistan
3 Department of Mechanical Engineering, National Fertilizer Cooperation (NFC), Institute of Engineering and Technology,
Multan, 61000, Pakistan
4 The School of Information Science and Engineering, Xiamen University, Xiamen, 361005, China
* Corresponding Author: Saqlain Abbas. Email:
Journal on Artificial Intelligence 2021, 3(3), 97-113. https://doi.org/10.32604/jai.2021.023020
Received 25 August 2021; Accepted 02 December 2021; Issue published 25 January 2022
Abstract
The performance and reliability of structural components are greatly
influenced by the presence of any abnormality in them. To this purpose,
structural health monitoring (SHM) is recognized as a necessary tool to ensure
the safety precautions and efficiency of both mechanical and civil infrastructures.
Till now, most of the previous work has emphasized the functioning of several
SHM techniques and systematic changes in SHM execution. However, there
exist insufficient data in the literature regarding the patent-based technological
developments in the SHM research domain which might be a useful source of
detailed information for worldwide research institutes. To address this research
gap, a method based on the Co-Operative Patent Classification (CPC) codes is
proposed in the current study. The proposed method includes the patent analysis
of SHM in terms of its global publication trend and technology-based
applications. This analysis is performed using patent database search tools,
namely, IncoPat and Espacenet. The period ranging from 2005 to 2019 is
selected to retrieve the required patent documents. A new approach termed as
Patents’ value is utilized to investigate the technological impact of a patent in the
form of forward citations, technical stability, and scope of protection. The
identification of emerging SHM techniques and forecasting of vacant technology
is also part of current research work. The research results have revealed the
increasing trend in the number of published patents each year related to various
SHM technologies. In this regard, China, the United States, and South Korea are
notified as to the major depositor countries, respectively. Hence, mapping of
patent data in this research is an effort to illustrate the effectiveness of the
proposed method to demonstrate the development trends and dynamic inventions
over the time in SHM research domain to achieve the optimal damage
inspections of various mechanical components.
Keywords
Cite This Article
S. Abbas, Z. Abbas, X. Tu and Y. Zhu, "A study on technological dynamics in structural health monitoring using intelligent fault diagnosis techniques: a patent-based approach,"
Journal on Artificial Intelligence, vol. 3, no.3, pp. 97–113, 2021. https://doi.org/10.32604/jai.2021.023020