A Damage Estimation Method for Packaging Systems Based on Power Spectrum Densities Using Spectral Moments

2016 ◽  
Vol 29 (6) ◽  
pp. 303-321 ◽  
Author(s):  
Victor Huart ◽  
Jean-baptiste Nolot ◽  
Jean-Charles Candore ◽  
Jérôme Pellot ◽  
Nicolas Krajka ◽  
...  
2021 ◽  
Vol 157 ◽  
pp. 107698
Author(s):  
M. Palmieri ◽  
F. Cianetti ◽  
G. Zucca ◽  
G. Morettini ◽  
C. Braccesi

2014 ◽  
Vol 26 (2) ◽  
pp. 125-143 ◽  
Author(s):  
Debejyo Chakraborty ◽  
Narayan Kovvali ◽  
Antonia Papandreou-Suppappola ◽  
Aditi Chattopadhyay

2007 ◽  
Vol 54 ◽  
pp. 261-265
Author(s):  
Fuminori KATO ◽  
Masaya FUKUHAMA ◽  
Hiroyuki FUJII ◽  
Toshimitsu TAKAGI ◽  
Toshio KODAMA

Author(s):  
Yasushi Hayasaka ◽  
Shigeo Sakurai ◽  
Takeshi Kudo ◽  
Kunihiro Ichikawa

To improve the reliability of compressor stator blades of gas turbines, an analytical method for estimating their fatigue damage has been developed. This method is based on blade-vibratory-stress analysis, stress-peak counting, and use of actual environmental data. The blade-vibratory-stress analysis takes the superposition of multi-peaks of the stress spectrum into account. The numerically simulated stress showed better agreement with measured stress than that from a conventional stress analysis, which is based on frequency-response analysis considering a single peak of the lowest single eigen-vibration-mode. A time-domain stress history was synthesized from the blade-vibratory-stress analysis results. Furthermore, the fatigue damage of the blade under rotating stall was estimated by the linear-damage-rule from the stress-peak counting of the stress and from material data. The estimated fatigue-damage agrees well with the measured results. This agreement means that our new fatigue-damage-estimation method is more accurate than the conventional one.


Information ◽  
2019 ◽  
Vol 10 (6) ◽  
pp. 199 ◽  
Author(s):  
Jinkai Li ◽  
Yi Zhang ◽  
Xin Liu ◽  
Paul Liu ◽  
Hao Yin ◽  
...  

Accurate estimation of ultrasound Doppler spectrogram envelope is essential for clinical pathological diagnosis of various cardiovascular diseases. However, due to intrinsic spectral broadening in the power spectrum and speckle noise existing in ultrasound images, it is difficult to obtain the accurate maximum velocity. Each of the standard existing methods has their own limitations and does not work well in complicated recordings. This paper proposes a robust automatic spectral envelope estimation method that is more accurate in phantom recordings and various in-vivo recordings than the currently used methods. Comparisons were performed on phantom recordings of the carotid artery with varying noise and additional in-vivo recordings. The accuracy of the proposed method was on average 8% greater than the existing methods. The experimental results demonstrate the wide applicability under different blood conditions and the robustness of the proposed algorithm.


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