Results 231 to 240 of about 91,386 (253)

Pattern recognition in load profiles of electric drives in manufacturing plants

2015 5th International Electric Drives Production Conference (EDPC), 2015
With the introduction of energy management systems, an analysis of load profiles of manufacturing plants becomes increasingly important. Each manufacturing plant is characterized by a process and product specific power consumption. Often, electric drives are the main power consumers.
Arnim Reger, Cedric Oette, Ana Paula Aires, Rolf Steinhilper   +3 more
openaire   +1 more source

Multi-Mode Driving Control of a Parallel Hybrid Electric Vehicle Using Driving Pattern Recognition

Journal of Dynamic Systems, Measurement, and Control, 2000
Vehicle performance such as fuel consumption and catalyst-out emissions is affected by a driving pattern, which is defined as a driving cycle with grades in this study. To optimize the vehicle performances on a temporary driving pattern, we developed a multi-mode driving control algorithm using driving pattern recognition and applied it to a parallel ...
Soon-il Jeon, Sung-tae Jo, Yeong-il Park, Jang-moo Lee   +3 more
openaire   +1 more source

Sound and vibration-based pattern recognition for wind turbines driving mechanisms

Renewable Energy, 2017
Abstract This paper proposes a pattern recognition approach for a Fault Detection and Diagnosis (FDD) system based on the wavelet and the fast Fourier transform. Both techniques are developed in an experimental set that simulates the driving mechanisms housed in the nacelle of a wind turbine (WT) with results being validated in a real wind farm ...
exaly   +2 more sources

Fault Diagnosis in Variable Speed Drives by Pattern Recognition and Probabilistic Measures

IFAC Proceedings Volumes, 2012
Abstract In this work, the problem of fault detection and isolation in variable speed drives is addressed under open and closed-loop control. Open-switch faults in the power semiconductors are considered in this study. First, the resulting trajectories for the stator currents are analytically derived for single and double faults.
Angel Pecina-Sanchez, D.U. Campos-Delgado, E. Arce-Santana, D.R. Espinoza-Trejo   +3 more
openaire   +1 more source

Pattern recognition in crash clusters involving vehicles with advanced driving technologies

Accident Analysis & Prevention
Autonomous Vehicle (AV) technologies, including Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS), have significant potential to reduce crashes caused by driver errors. However, as AVs become more prevalent on roadways, the number of crashes involving them is also increasing.
Reuben Tamakloe, Mahdi Khorasani, Subasish Das, Inhi Kim   +3 more
openaire   +2 more sources

Signature-based pattern recognition: Application to closed-loop driving maneuvers

IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society, 2011
In order to detect specific steering maneuvers in closed- loop driving evaluations on open road, a novel pattern recognition approach is proposed. Based on signature analysis, this approach incorporates both signal processing techniques and expert knowledge.
Grigoryev, Dmitry, Lauffenburger, Jean-Philippe, Caroux, Julien, Basset, Michel, Depouhon, François   +4 more
openaire   +1 more source

Driving Pattern Recognition and Energy Management for Extended Range Electric Bus

2014 IEEE Vehicle Power and Propulsion Conference (VPPC), 2014
Driving pattern recognition is an efficient way to ensure that the energy management strategy is suitable to the current driving pattern, so as to obtain a better performance of fuel economy. In this work, we propose an approach to recognize the driving pattern online and apply the results of recognition to minimize the fuel consumption of the bus with
Haiming Xie, Guangyu Tian
exaly   +2 more sources

Classification of Driving Behavior by Pattern Recognition in Multiclass Users Traffic Flow

AIP Conference Proceedings, 2007
Understanding driving behavior is a complicated researching topic. To describe accurate speed, flow and density of a multiclass users traffic flow, an adequate model is needed. Mostly, user's classes are determined by types of vehicles. However, it is unrealistic to consider drivers with the same type of vehicles have the same driving behavior ...
Shih-Ching Lo, Theodore E. Simos, George Maroulis   +2 more
openaire   +1 more source

The Research on Hybrid Kernel Function Facing Vehicle Driving Pattern Recognition

2015
The intelligent energy management strategy of Hybrid Electric Vehicle (HEV) based on driving pattern recognition is created, because there is a close relationship between the driving pattern recognition model and HEV fuel consumption. The Kernel Function (KF) is one of the most important research issues in driving pattern recognition model based on ...
Wen Song, Yi Tian, Xin Zhang, Xinn Zhang
openaire   +1 more source

Time-series clustering for pattern recognition of speed and heart rate while driving: A magnifying lens on the seconds around harsh events

Transportation Research Part F: Traffic Psychology and Behaviour, 2023
Dimitrios I Tselentis, Eleonora Papadimitriou   +1 more
exaly