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Article
Effects of Si on the Microstructure and Work Hardening Behavior of Fe‒17Mn‒1.1C‒xSi High Manganese Steels
In order to improve the work hardening capacity under low stresses and the yield strength of conventional Hadfield steels, the effects of Si on the microstructure and work hardening behavior of the Fe‒17Mn‒1.1...
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Article
Open AccessMulti-source and multi-fault condition monitoring based on parallel factor analysis and sequential probability ratio test
The monitoring of mechanical equipment systems contains an increasing number of complex content, expanding from traditional time, and frequency information to three-dimensional data of the time, space, and fre...
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Article
Open AccessFusarium oxysporum is the pathogen responsible for stem rot of the succulent plant Echeveria ‘Perle von Nürnberg’ and observation of the infection process
Echeveria ‘Perle von Nürnberg’ is a popular ornamental potted plant. In 2017–2018, stem rot lesions caused by Fusarium spp. were repeatedly observed on Echeveria ‘Perle von Nürnberg’ in Zhangzhou, Fujian Province...
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Chapter and Conference Paper
Mechanical Structural Failure Assessment with Novel Nonlinear Ultrasonic Method
The formation of internal micro-defects during the use of aluminum alloy plates will bring potential safety hazards to the service of mechanical equipment. To address this problem, a nonlinear ultrasonic detec...
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Article
Anthracnose pathogen of the succulent plant Echeveria ‘Perle von Nürnberg’
Zhangzhou in Fujian province is the primary habitat for the succulent plant Echeveria ‘Perle von Nürnberg’ (Crassulaceae), which has seriously suffered from anthracnose disease in recent years. Plants with typica...
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Chapter and Conference Paper
Model-Based Intelligent Non-linear Signal Recognition for Gearbox Condition Monitoring
In this paper, a method for equipment fault diagnosis of gearbox using principal component analysis (PCA) and sequential probability ratio test (SPRT) is proposed. The method is to study and monitor the workin...
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Chapter and Conference Paper
Centrifugal Pump Impeller Health Diagnosis Based on Improved Particle Filter and BP Neural Network
This paper proposes an improved particle filter (PF) algorithm for the denoising of fault signals to reduce the impact of noise on the centrifugal pump impeller fault diagnosis. This method is combined with BP...
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Article
Fault diagnosis of gearbox based on RBF-PF and particle swarm optimization wavelet neural network
The gear cracks of gear box are one of most common failure forms affecting gear shaft drive. It has become significant for practice and economy to diagnose the situation of gearbox rapidly and accurately. The ...
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Chapter and Conference Paper
Passive Ultrasonic RFID Localization for Pipeline Pigs
For locating pipeline pigs, passive ultrasonic RFID tags are proposed to indicate pipeline segments in the paper. Ultrasonic transmitters and receivers are carried on the pig robot, and RFID tags are placed on...
