Advanced Diagnosis of Outer Cage Damage in Double-Squirrel-Cage Induction Motors Under Time-Varying Conditions Based on Wavelet Analysis

Gritli, Yasser,Sang Bin Lee,Filippetti, Fiorenzo,Zarri, Luca IEEE 2014 IEEE transactions on industry applications Vol.50 No.3

<P>It is known that classical fast-Fourier-transform-based steady-state spectrum analysis, such as motor current signature analysis, may fail to detect outer cage damage in double-squirrel-cage induction motors. This is because the magnitude of the rotor fault frequency components (RFFCs) in the current spectrum of faulty motors is small, due to the low-magnitude current circulation in the outer cage under a steady-state operation. The probability of misdetection is higher in time-varying load applications, such as conveyor belts, pulverizers, etc., for which double-cage motors are frequently employed. In case of load variation, the small RFFCs are spread in a bandwidth proportional to the speed variation, which makes them even more difficult to detect. A diagnosis method based on discrete wavelet transform and optimized for sensitive detection under transient operating conditions is proposed in this paper. An experimental study on a custom-built fabricated Cu double-cage-rotor induction motor shows that the proposed method can provide improved detection of outer cage faults particularly used in time-varying load applications.</P>

A Study on the Position Installing of GPS Antenna in Car Navigator Effect on the Quality of GPS signal by ANOVA method

Grit Tongkhundam 대한전자공학회 2006 ITC-CSCC :International Technical Conference on Ci Vol.2006 No.2

The brain’s functional network architecture reveals human motives

Hein, Grit,Morishima, Yosuke,Leiberg, Susanne,Sul, Sunhae,Fehr, Ernst American Association for the Advancement of Scienc 2016 Science Vol.351 No.6277

<P>Goal-directed human behaviors are driven by motives. Motives are, however, purely mental constructs that are not directly observable. Here, we show that the brain's functional network architecture captures information that predicts different motives behind the same altruistic act with high accuracy. In contrast, mere activity in these regions contains no information about motives. Empathy-based altruism is primarily characterized by a positive connectivity from the anterior cingulate cortex (ACC) to the anterior insula (AI), whereas reciprocity-based altruism additionally invokes strong positive connectivity from the AI to the ACC and even stronger positive connectivity from the AI to the ventral striatum. Moreover, predominantly selfish individuals show distinct functional architectures compared to altruists, and they only increase altruistic behavior in response to empathy inductions, but not reciprocity inductions.</P>

Spatial gradient in value representation along the medial prefrontal cortex reflects individual differences in prosociality

Sul, Sunhae,Tobler, Philippe N.,Hein, Grit,Leiberg, Susanne,Jung, Daehyun,Fehr, Ernst,Kim, Hackjin National Academy of Sciences 2015 PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF Vol.112 No.25

<P><B>Significance</B></P><P>How do selfish and prosocial brains function differently with regard to valuing the welfare of others? The present study addresses this question by combining neuroimaging, computational modeling, and an instrumental conditioning paradigm. Contrary to the conventional notion of the dorsal medial prefrontal cortex (MPFC) implicated in mentalization, we found that it was selfish individuals who showed greater spatial segregation between ventral and dorsal MPFC, which encoded self- and other-regarding values, respectively. Prosocial individuals, on the other hand, were characterized by overlapping self–other representation in the ventral MPFC and by stronger functional coupling between MPFC and striatum while representing and updating the value of other-regarding choices. These findings provide rigorous scientific evidence of neural markers reflecting individual differences in human prosociality.</P><P>Despite the importance of valuing another person’s welfare for prosocial behavior, currently we have only a limited understanding of how these values are represented in the brain and, more importantly, how they give rise to individual variability in prosociality. In the present study, participants underwent functional magnetic resonance imaging while performing a prosocial learning task in which they could choose to benefit themselves and/or another person. Choice behavior indicated that participants valued the welfare of another person, although less so than they valued their own welfare. Neural data revealed a spatial gradient in activity within the medial prefrontal cortex (MPFC), such that ventral parts predominantly represented self-regarding values and dorsal parts predominantly represented other-regarding values. Importantly, compared with selfish individuals, prosocial individuals showed a more gradual transition from self-regarding to other-regarding value signals in the MPFC and stronger MPFC–striatum coupling when they made choices for another person rather than for themselves. The present study provides evidence of neural markers reflecting individual differences in human prosociality.</P>

A Study on Logistical Distribution Management and Safety in Thailand's Highway Work Zone: The case of Logistics Drivers

MAHASIRIKUL, Narongdet,AKSORN, Preenithi,SRINAVIN, Korb,NGOWTANASUWAN, Grit Korea Distribution Science Association 2022 유통과학연구 Vol.20 No.3

Purpose: The purpose of this study is to analyze the Safety and Logistical Distribution Management system in Thailand's Highway Work Zone based on data from Logistics drivers. Accidents in highway construction zones have caused enormous casualties in Thailand yearly. Statistical data shows evidence of correlation between numbers of accidents and drivers' recklessness. Research design, data, and methodology: In this study, we conducted an in- depth interview with 414 logistics drivers and highway construction workers in Khon Kaen province, Thailand. The data was collected based on 63 questionnaires aiming at capturing factors contributing to the risk of safety and cause of accidents in logistic infrastructures such as Highway work zone. Results: The result reveals two significant factors affecting safety in highway work zone, which includes construction environment and safety management system. Moreover, the result shows that feeling of afraid and confused while driving within the construction zones significantly affecting driver's risk of having an accident. Conclusions: The findings of this study offer that a strategic planning and evaluation of the logistics drivers' satisfaction and construction workers' participation to mitigate highway accidents at construction zones and that drivers' knowledge and perception toward construction safety management plays a significant role in preventing highway accidents at the construction areas.

A Study on Logistical Distribution Management and Safety in Thailand’s Highway Work Zone: The case of Logistics Drivers

Narongdet MAHASIRIKUL,Preenithi AKSORN,Korb SRINAVIN,Grit NGOWTANASUWAN 한국유통과학회 2022 유통과학연구 Vol.20 No.3

Purpose: The purpose of this study is to analyze the Safety and Logistical Distribution Management system in Thailand’s Highway Work Zone based on data from Logistics drivers. Accidents in highway construction zones have caused enormous casualties in Thailand yearly. Statistical data shows evidence of correlation between numbers of accidents and drivers’ recklessness. Research design, data, and methodology: In this study, we conducted an in- depth interview with 414 logistics drivers and highway construction workers in Khon Kaen province, Thailand. The data was collected based on 63 questionnaires aiming at capturing factors contributing to the risk of safety and cause of accidents in logistic infrastructures such as Highway work zone. Results: The result reveals two significant factors affecting safety in highway work zone, which includes construction environment and safety management system. Moreover, the result shows that feeling of afraid and confused while driving within the construction zones significantly affecting driver’s risk of having an accident. Conclusions: The findings of this study offer that a strategic planning and evaluation of the logistics drivers’ satisfaction and construction workers’ participation to mitigate highway accidents at construction zones and that drivers’ knowledge and perception toward construction safety management plays a significant role in preventing highway accidents at the construction areas.