The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Feb. 17, 2026
Filed:
Dec. 31, 2019
Agency for Science, Technology and Research, Singapore, SG;
Sembcorp Industries Ltd., Singapore, SG;
Jianzhong Hao, Singapore, SG;
Wenyu Jiang, Singapore, SG;
Yixin Wang, Singapore, SG;
Aayush Madan, Singapore, SG;
Shili Xiang, Singapore, SG;
Jun Long Lim, Singapore, SG;
Ouyang Liu, Singapore, SG;
Yongwei Zhu, Singapore, SG;
Kai Wu, Singapore, SG;
Jiliang Eugene Phua, Singapore, SG;
Rebecca Yen-Ni Wong, Singapore, SG;
Muralidharan S/O Paramsothy, Singapore, SG;
Hui Dong, Singapore, SG;
Chuen Yuen Henry Wong, Singapore, SG;
Wen Chen, Singapore, SG;
Haiyan Shu, Singapore, SG;
AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH, Singapore, SG;
SEMBCORP INDUSTRIES LTD, Singapore, SG;
Abstract
The present disclosure relates to at least one method for ascertaining at least one attribute of pressure vessel wall. A method comprises: while a pressure vessel, which comprises a wall having an outer surface and an inner surface, is operating: ascertaining a current wavelength shift of a first fiber Bragg grating (FBG) sensor disposed at a first outer surface location on the pressure vessel; and ascertaining a current thickness of the wall at the first outer surface location by: computing a vector based on a time series of the current wavelength shift, or a derivative of the time series, or a derivative of the current wavelength shift; providing the vector to a predetermined regression model; and using the regression model, ascertaining the current thickness of the wall.