scholarly journals M2OVQA: Multi-Space Signal Characterization and Multi-Channel Information Aggregation for Quality Assessment of Compressed Omnidirectional Videos

2021 ◽  
pp. 103419
Author(s):  
Xiongli Chai ◽  
Feng Shao
Keyword(s):  
Quality Assessment ◽  
Information Aggregation ◽  
Channel Information ◽  
Signal Characterization

Amalgam marginal quality assessment: a comparison of seven methods

1997 ◽  
Vol 24 (7) ◽  
pp. 496-505 ◽  
Author(s):  
E. S. GROSSMAN ◽  
J. M. MATEJKA
Keyword(s):  
Quality Assessment

Are Psychologists Ready for Quality Assessment?

PsycCRITIQUES ◽  
2006 ◽  
Vol 51 (14) ◽  
Author(s):  
Howard N. Garb
Keyword(s):  
Quality Assessment

Clinical Music Study Quality Assessment Scale

2018 ◽  
Author(s):  
Artur Jaschke ◽  
Laura H. P. Eggermont ◽  
Sylka Uhlig ◽  
Erik J. A. Scherder
Keyword(s):  
Quality Assessment ◽  
Assessment Scale ◽  
Study Quality ◽  
Music Study ◽  
Study Quality Assessment

Helicopter main reduction planetary gear fault diagnosis method based on SVDD

2020 ◽  
Vol 64 (1-4) ◽  
pp. 137-145
Author(s):  
Yubin Xia ◽  
Dakai Liang ◽  
Guo Zheng ◽  
Jingling Wang ◽  
Jie Zeng
Keyword(s):  
Fault Diagnosis ◽  
Planetary Gear ◽  
Gaussian Kernel ◽  
Support Vector ◽  
Support Vector Data Description ◽  
Vector Data ◽  
Energy Characteristics ◽  
Gear Fault ◽  
Channel Information ◽  
Diagnosis Method

Aiming at the irregularity of the fault characteristics of the helicopter main reducer planetary gear, a fault diagnosis method based on support vector data description (SVDD) is proposed. The working condition of the helicopter is complex and changeable, and the fault characteristics of the planetary gear also show irregularity with the change of working conditions. It is impossible to diagnose the fault by the regularity of a single fault feature; so a method of SVDD based on Gaussian kernel function is used. By connecting the energy characteristics and fault characteristics of the helicopter main reducer running state signal and performing vector quantization, the planetary gear of the helicopter main reducer is characterized, and simultaneously couple the multi-channel information, which can accurately characterize the operational state of the planetary gear’s state.

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