Domain Adaptive Transfer Learning for Fault Diagnosis

Thanks to digitization of industrial assets in fleets, the ambitious goal of transferring fault diagnosis models fromone machine to the other has raised great interest. Solving these domain adaptive transfer learning tasks has the potential to save large efforts on manually labeling data and modifying models for new machines in the same fleet. Although data-driven methods have shown great potential in fault diagnosis applications, their ability to generalize on new machines and new working conditions are limited because of their tendency to overfit to the training set in reality. One promising solution to this problem is to use domain adaptation techniques. It aims to improve model performance on the target new machine. Inspired by its successful implementation in computer vision, we introduced Domain-Adversarial Neural Networks (DANN) to our context, along with two other popular methods existing in previous fault diagnosis research. We then carefully justify the applicability of these methods in realistic fault diagnosis settings, and offer a unified experimental protocol for a fair comparison between domain adaptation methods for fault diagnosis problems.Comment: Presented at 2019 Prognostics and System Health Management Conference (PHM 2019) in Paris, Franc

A Novel Approach for Simplification of Industrial Robot Dynamic Model Using Interval Method

This paper proposes a new approach to simplify the dynamic model of industrial robot by means of interval method. Due to strong nonlinearities, some components of robot dynamic model such as the inertia matrix and the vector of centrifugal, Coriolis and gravitational torques, are very complicated for real-time control of industrial robots. Thus, a simplification algorithm is presented in this study in order to reduce the computation time and memory occupation. More importantly, this simplification is suitable for arbitrary trajectories in whole robot workspace. Furthermore, the method devotes to finding negligible inertia parameters, which is useful for robot model identification. A simulation has been carried out on a test trajectory using a 6-DOF industrial robot model, and the results have shown good performance and effectiveness of this method.ANR COROUSS

Color-to-speech sensory substitution device for the visually impaired

A hardware device is presented that converts color to speech for use by the blind and visually impaired. The use of audio tones for transferring knowledge of colors identified to individuals was investigated but was discarded in favor of the use of direct speech. A unique color-clustering algorithm was implemented using a hardware description language (VHDL), which in-turn was used to program an Altera Corporation's programmable logic device (PLD). The PLD maps all possible incoming colors into one of 24 color names, and outputs an address to a speech device, which in-turn plays back one of 24 voice recorded color names. To the author's knowledge, there are only two such color to speech systems available on the market. However, both are designed to operate at a distance of less than an inch from the surface whose color is to be checked. The device presented here uses original front-end optics to increase the range of operation from less than an inch to sixteen feet and greater. Because of the increased range of operation, the device can not only be used for color identification, but also as a navigation aid

Living Together: The Economics of Cohabitation

Analyzes trends among unmarried couples ages 30 to 44 living together by education. Compares median household income, poverty rate, composition of household income, and number of children with those of married couples and those without partners

Electric field control and optical signature of entanglement in quantum dot molecules

The degree of entanglement of an electron with a hole in a vertically coupled self-assembled dot molecule is shown to be tunable by an external electric field. Using atomistic pseudopotential calculations followed by a configuration interaction many-body treatment of correlations, we calculate the electronic states, degree of entanglement and optical absorption. We offer a novel way to spectroscopically detect the magnitude of electric field needed to maximize the entanglement.Comment: 4 pages, 6 figure