Reliable detection of rotor faults under the influence of low frequency load torque oscillations for applications with speed reduction couplings

Author(s):  
Heonyoung Kim ◽  
Sang Bin Lee ◽  
Sung Bong Park ◽  
Shahin Hedayati Kia ◽  
Gerard-Andre Capolino
2016 ◽  
Vol 52 (2) ◽  
pp. 1460-1468 ◽  
Author(s):  
Heonyoung Kim ◽  
Sang Bin Lee ◽  
Sungbong Park ◽  
Shahin Hedayati Kia ◽  
Gerard-Andre Capolino

2017 ◽  
Vol 53 (3) ◽  
pp. 2702-2710 ◽  
Author(s):  
Mhamed Drif ◽  
Heonyoung Kim ◽  
Jongwan Kim ◽  
Sang Bin Lee ◽  
Antonio J. Marques Cardoso

2014 ◽  
Vol 50 (4) ◽  
pp. 2493-2502 ◽  
Author(s):  
Chanseung Yang ◽  
Tae-June Kang ◽  
Doosoo Hyun ◽  
Sang Bin Lee ◽  
Jose A. Antonino-Daviu ◽  
...  

2017 ◽  
Author(s):  
Giuseppe Narzisi ◽  
André Corvelo ◽  
Kanika Arora ◽  
Ewa A. Bergmann ◽  
Minita Shah ◽  
...  

Reliable detection of somatic variations is of critical importance in cancer research. Lancet is an accurate and sensitive somatic variant caller which detects SNVs and indels by jointly analyzing reads from tumor and matched normal samples using colored DeBruijn graphs. Extensive experimental comparison on synthetic and real whole-genome sequencing datasets demonstrates that Lancet has better accuracy, especially for indel detection, than widely used somatic callers, such as MuTect, MuTect2, LoFreq, Strelka, and Strelka2. Lancet features a reliable variant scoring system which is essential for variant prioritization and detects low frequency mutations without sacrificing the sensitivity to call longer insertions and deletions empowered by the local assembly engine. In addition to genome-wide analysis, Lancet allows inspection of somatic variants in graph space, which augments the traditional read alignment visualization to help confirm a variant of interest. Lancet is available as an open-source program at https://github.com/nygenome/lancet.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Vanessa M. ZoBell ◽  
Kaitlin E. Frasier ◽  
Jessica A. Morten ◽  
Sean P. Hastings ◽  
Lindsey E. Peavey Reeves ◽  
...  

AbstractCommercial shipping is the dominant source of low-frequency noise in the ocean. It has been shown that the noise radiated by an individual vessel depends upon the vessel’s speed. This study quantified the reduction in source levels (SLs) and sound exposure levels (SELs) for ships participating in two variations of a vessel speed reduction (VSR) program. SLs and SELs of individual ships participating in the program between 2014 and 2017 were statistically lower than non-participating ships (p < 0.001). In the 2018 fleet-based program, there were statistical differences between the SLs and SELs of fleets that participated with varying degrees of cooperation. Significant reductions in SL and SEL relied on cooperation of 25% or more in slowing vessel speed. This analysis highlights how slowing vessel speed to 10 knots or less is an effective method in reducing underwater noise emitted from commercial ships.


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