Use of preclinical models alongside clinical tissues to develop a noninvasive multimodal fluorescence detection approach for oral neoplasia detection

2021 ◽  
Author(s):  
Paula Villarreal ◽  
Rahul Pal ◽  
Xiaoying Yu ◽  
Orly Coblens ◽  
Suimin Qiu ◽  
...  
Keyword(s):  
Fluorescence Detection ◽  
Preclinical Models ◽  
Detection Approach ◽  
Oral Neoplasia

A potential fluorescence detection approach to trace hexachlorobenzene via disaggregating with ethanol

The Analyst ◽  
2011 ◽  
Vol 136 (23) ◽  
pp. 4912 ◽  
Author(s):  
Xinrui Zhang ◽  
Guowen Meng ◽  
Qing Huang ◽  
Junfeng Wang ◽  
Meiling Wang ◽  
...  
Keyword(s):  
Fluorescence Detection ◽  
Detection Approach

A Fault Detection Approach Based on Sound Signal Analysis for Equipment Monitoring

2020 ◽  
pp. 129-139
Author(s):  
Weihai Sun ◽  
Lemei Han
Keyword(s):  
Fault Detection ◽  
Signal Analysis ◽  
Energy Analysis ◽  
Detection Method ◽  
Sound Signal ◽  
Practical Significance ◽  
Time Frequency ◽  
Detection Approach ◽  
Machine Fault ◽  
Learning Data

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.

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