Jul 2026· Journal of Food Measurement & Characterization· Vol 20, pp. 15690 - 15709· 0 citations· 40 references
TL;DR
It is demonstrated that the proposed method for detecting moldy core in Korla pear can enable early, rapid, and nondestructive detection of moldy core in Korla pears, providing a feasible technical approach for the intelligent detection of internal fruit diseases.
Granulation is a major physiological disorder that compromises sweet orange quality. Conventional destructive detection methods lead to food waste and cannot be used for batch inspection. This study proposes a nondestructive approach for detecting granulation in sweet oranges using air-jet transient excitation and a la...
Da-Chen Wang, Tao Shi, Yang Pan et al.· Agriculture· 0 citations
An acoustic–vibration fusion method for bearing fault diagnosis based on a multi-scale Swin–CNN hybrid architecture that employs a Bayesian optimization-based tunable Q-factor wavelet transform (BO-TQWT) to enhance fault-sensitive subbands under low signal-to-noise ratio conditions, and converts acoustic and vibration...
Meng-Ran Liu, Zhao-Tao Du, Zhen-Xiang Xiong et al.· Measurement science and tech...· 0 citations
A single-sensor acoustic emission (AE) damage location framework is developed based on continuous wavelet transform and convolutional neural network (CNN), which leverages the high sensitivity of AE and the strong learning ability of artificial intelligence.
Pi-Fu Cheng, Dan Li, Jia-Hao Nie et al.· Journal of nondestructive ev...· 0 citations
Phase-sensitive optical time-domain reflectometry (Φ-OTDR) offers advantages such as a simple structure, multi-point vibration localization, and long-distance disturbance detection in optical fiber networks. However, accurately distinguishing diverse environmental vibration events remains challenging. In this study, ex...
Z. Zhong, Xiao-Dong Zhou, Chun-Ming Zhang et al.· Mechanics & Industry· 0 citations
In order to solve the problems of limited vibration signal acquisition, incomplete single-modal features, and sound signals being vulnerable to noise interference in gearbox fault diagnosis, a Multi-Channel Convolutional-Transformer Cross- Attention Diagnosis Model is proposed. Its core innovations are as follows: comb...
Jia-Shun Deng, Li-Juan Ji, Yu Gong et al.· International Conference on...· 0 citations
In CNC milling processes, vibration signals are a crucial data source that directly reflects machining dynamics and changes in cutting conditions. This study aims to classify material type, feed rate, and depth-of-cut using data-driven vibration signals obtained during CNC milling of Al6061 and Al7075 aluminum alloys...
Muhammed İşci· Scientific Reports· 0 citations
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