A digital twin-assisted fault diagnosis method for stage lifts based on lightweight multi-scale convolution and broadcast self-attention mechanisms. [PDF]
Wang H, Yang Q, Jiang C, Zhang C.
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Paraneoplastic pemphigus in primary peritoneal clear cell carcinoma: a multidisciplinary management approach. [PDF]
Barr E, Brodsky A, Tabata M, Jazaeri A.
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Transforming Eye-Care Diagnostics Through Artificial Intelligence, Biometric Evaluation, and Tele-Optometry. [PDF]
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Wideband Tympanometry Findings in Otitis Media with Effusion-A Systematic Review. [PDF]
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A Review of Fault Diagnosis Methods: From Traditional Machine Learning to Large Language Model Fusion Paradigm. [PDF]
Nie Q, Geng J, Liu C.
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A Global Partnership to Address Breast Cancer Challenges in Indonesia through a Breast Radiology Training Program. [PDF]
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Soft Computing for diagnostics in equipment service
Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2001We present methods and tools from the Soft Computing (SC) domain, which is used within the diagnostics and prognostics framework to accommodate imprecision of real systems. SC is an association of computing methodologies that includes as its principal members fuzzy, neural, evolutionary, and probabilistic computing.
Piero P. Bonissone, Kai Goebel
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Diagnostics in industrial equipment
Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 1985Abstract The use of computers in semiconductor industrial equipment has been primarily for process control. Increasing demand for easily maintainable equipment has forced a new diagnostic responsibility on the computer control systems. In a properly designed control system the diagnostic capability of the computers can allow service personnel to ...
A. Delforge, C. Wonson
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Effective Diagnostics of Metallurgical Equipment
2020 Global Smart Industry Conference (GloSIC), 2020The paper presents a General approach to diagnostics of metallurgical equipment. Features of failures of metallurgical aggregates are given. Modern methods of diagnostics and non-destructive testing are considered, as well as issues of forecasting changes in the state of aggregates during operation.
Sergei Rednikov +3 more
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Diagnostic equipment using microcomputers
Microprocessors and Microsystems, 1981Abstract The JNR (Japan National Railways) Hakata Base is a general maintenance shop servicing Shinkansen rolling stock, consisting of a number of maintenance machines and equipment. One of the most important problems faced by the Hakata Base is keeping all the machines and equipment operating smoothly, and resuming normal operation without losing ...
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