scholarly journals A novel approach of testability modeling and analysis for PHM systems based on failure evolution mechanism

2013 ◽  
Vol 26 (3) ◽  
pp. 766-776 ◽  
Author(s):  
Xiaodong Tan ◽  
Jing Qiu ◽  
Guanjun Liu ◽  
Kehong Lv ◽  
Shuming Yang ◽  
...  
2018 ◽  
Vol 157 ◽  
pp. 02014
Author(s):  
Pawel Chodkiewicz ◽  
Jakub Lengiewicz ◽  
Robert Zalewski

In this paper, we present a novel approach to modeling and analysis of Vacuum Packed Particle dampers (VPP dampers) with the use of Discrete Element Method (DEM). VPP dampers are composed of loose granular medium encapsulated in a hermetic envelope, with controlled pressure inside the envelope. By changing the level of underpressure inside the envelope, one can control mechanical properties of the system. The main novelty of the DEM model proposed in this paper is the method to treat special (pressure) boundary conditions at the envelope. The model has been implemented within the open-source Yade DEM software. Preliminary results are presented and discussed in the paper. The qualitative agreement with experimental results has been achieved.


Author(s):  
Yue Dong ◽  
Huitian Lu ◽  
Ognjen Gajic ◽  
Brian Pickering

The outcome of critical illness depends not only on life threatening pathophysiologic disturbances, but also on several complex “system” dimensions: health care providers’ performance, organizational factors, environmental factors, family preferences and the interactions between each component. Systems engineering tools offer a novel approach which can facilitate a “systems understanding” of patient-environment interactions enabling advances in the science of healthcare delivery. Due to the complexity of operations in critical care medicine, certain assumptions are needed in order to understand system behavior. Patient variation and uncertainties underlying these assumptions present a challenge to investigators wishing to model and improve health care delivery processes. In this chapter we present a systems engineering approach to modeling critical care delivery using sepsis resuscitation as an example condition.


2019 ◽  
Vol 66 (3) ◽  
pp. 1435-1443 ◽  
Author(s):  
Hui Li ◽  
Ran Yao ◽  
Wei Lai ◽  
Hai Ren ◽  
Jinyuan Li

2013 ◽  
Vol 24 (5) ◽  
pp. 780-792 ◽  
Author(s):  
Jing Qiu ◽  
Xiaodong Tan ◽  
Guanjun Liu ◽  
Kehong Lu

Author(s):  
David E. Lee ◽  
H. Thomas Hahn

Abstract In order to reduce assembly complexity and enhance the performance of structural elements utilized in transportation systems, a novel approach is presented that uses integral fit joints in the assembly of fiber-reinforced composite structural elements. While the application of composite materials in transportation structures is not new or unique, their use coupled with integral fit joint designs affords a multi-magnitude reduction in the number of components required to assemble transportation systems. Essential to this effort is the need to effectively model and analyze the composite integral fit joint specifically focused on assembly. This paper introduces pertinent issues in the design and assembly of transportation systems, the assembly of their structural joints, and defines assembly models and analysis methods for composite integral fit (CIF) joints.


2005 ◽  
Vol 15 (04) ◽  
pp. 311-322 ◽  
Author(s):  
CARLA S. MÖLLER-LEVET ◽  
HUJUN YIN

In this paper a novel approach is introduced for modeling and clustering gene expression time-series. The radial basis function neural networks have been used to produce a generalized and smooth characterization of the expression time-series. A co-expression coefficient is defined to evaluate the similarities of the models based on their temporal shapes and the distribution of the time points. The profiles are grouped using a fuzzy clustering algorithm incorporated with the proposed co-expression coefficient metric. The results on artificial and real data are presented to illustrate the advantages of the metric and method in grouping temporal profiles. The proposed metric has also been compared with the commonly used correlation coefficient under the same procedures and the results show that the proposed method produces better biologicaly relevant clusters.


2018 ◽  
Vol 10 (2) ◽  
pp. 253-263 ◽  
Author(s):  
Taieb Elbellili ◽  
Mohamed Karim Azizi ◽  
Lassaad Latrach ◽  
Hichem Trabelsi ◽  
Henri Baudrand

AbstractIn this paper, a developed theory of a novel approach of the wave concept iterative process (WCIP) method is presented. This method is well used to demonstrate many attractive properties of metamaterials and to analyze metamaterial-based negative refractive index lenses by easy and speedy computation of the electromagnetic field distribution. These metamaterial-based circuits are established by using periodicL–CandC–Lnetworks. The results of simulation using the proposed method are justified theoretically.


Author(s):  
Mike Bailley

Two dimensional, or planar, mechanism design is a mainstay of Mechanical Engineering modeling and analysis. An important part of the design process is the visualizing of the motion of the mechanism. This paper describes a novel approach to visualizing the time motion of a planar mechanism — turning the time dimension into a spatial dimension. All three dimensions (x,y,time) are then treated as a 3D volume. From there, we use interactive volume visualization techniques, including slicing and thresholding. As is seen, this method is able to produce new insights into planar mechanism motion, particularly when more than one mechanism is working cooperatively.


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