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In order to study the thermal energy in the process of fuse melting, data analysis is conducted on the time/current curve provided by the manufacturer. Data analysis methodologies, such as sampling, variance analyze and residual sum of squares analyze, are performed in this process. These methods provide us the most optimal equation to describe the relationship between time, different level of fault...
In this paper, we discuss how to implement the self heating and aging models with TMI. Various examples about self heating and aging simulations with TMI methodology are shown in this paper. Without trading-off the accuracy, the one with proposed TMI approach for self heating simulations takes much shorter simulation time.
This paper describes a method aimed at producing reduced order models in state-space form for speeding up the transient thermal simulation of mechatronics products. Designed in a non-intrusive framework, this method is implemented as an offline tool that post-processes the inputs and outputs of a detailed reference model considered as a black box. The reduction algorithm is based on robust linear...
This work tries to bring a marriage between two areas of computer science, social network analysis and machine learning, by exploiting ranking-based learning models for preference prediction on social networks. In the field of social network analysis, the diffusion of information on social networks has been studied for decades. This paper proposes the study of diffusion of preference on social networks...
This paper presents a new methodology to characterize and simulate the electro-thermal aspects of packaged power drivers using lateral bipolars. Maximum elevation of junction temperature due to the electrical power stress is sensed in the field of the drivers. Those measurements are further complemented by the transient interferometric mapping (TIM) inspection. For the first time a data driven segmented...
Linear Fractional Transformations (LFTs) are a widely used modelling framework in modern control and identification. Deriving such models from physical first principles is a non-trivial and often error-prone process, if carried out manually. In this paper a new approach to reduced-order LFT modelling and identification starting from equation-based, object-oriented (O-O) descriptions of the plant (formulated...
A physical yet analytical phase change memory (PCM) model simultaneously accounting for thermal and electrical conductivities is presented. Due to the physics based nature of the model, the essential temperature from heating and cooling of PCM during operation is instantaneously updated. More importantly, the model can be applied to non-conventional circuit design technique. We show that for the first...
The field of electronic noses and gas sensing has been developing rapidly since the introduction of the silicon based sensors. There are numerous systems that can detect and indicate the level of a specific gas. We introduce here a system that is low power, small and cheap enough to be used in mobile robotic platforms while still being accurate and reliable enough for confident use. The design is...
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