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Rolls-Royce Motor Cars

About: Rolls-Royce Motor Cars is a based out in . It is known for research contribution in the topics: Turbine & Gas compressor. The organization has 3845 authors who have published 4934 publications receiving 58973 citations. The organization is also known as: Rolls-Royce Motor Cars Limited.


Papers
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Journal ArticleDOI
TL;DR: This paper provides a benchmark of the performance of 23 classical and state-of-the-art background subtraction algorithms on visible range and near infrared range videos in the Singapore Maritime dataset to provide insight into the specific challenges of BS in maritime vision.
Abstract: This paper provides a benchmark of the performance of 23 classical and state-of-the-art background subtraction (BS) algorithms on visible range and near infrared range videos in the Singapore Maritime dataset. Importantly, our study indicates the limitations of the conventional performance evaluation criteria for maritime vision and proposes new performance evaluation criteria that is better suited to this problem. This paper provides insight into the specific challenges of BS in maritime vision. We identify four open challenges that plague BS methods in maritime scenario. These include spurious dynamics of water, wakes, ghost effect, and multiple detections. Poor recall and extremely poor precision of all the 23 methods, which have been otherwise successful for other challenging BS situations, allude to the need for new BS methods custom designed for maritime vision.

56 citations

Proceedings ArticleDOI
12 May 2008
TL;DR: Overhaul Prediction and Scheduling, an agent-based simulator developed to tackle the challenge of prediction and scheduling of engine over-hauls, deals with the multi-dimensional scheduling optimisation problem by trading off repair costs, capacity and capability of overhaul bases in light of in-service unforseen events.
Abstract: The Aero Repair and Overhaul industry is facing an increasing challenge of prediction and scheduling of engine over-hauls to remain competitive in a complex business arena. An appropriate technology solution is required to achieve efficient schedules while satisfying multiple opposing constraints in a highly dynamic environment. In this paper, we describe Overhaul Prediction and Scheduling, an agent-based simulator developed to tackle this challenge. Using negotiation strategies, it deals with the multi-dimensional scheduling optimisation problem by trading off repair costs, capacity and capability of overhaul bases, among others, in light of in-service unforseen events. It supports effective strategic decision-making via business scenario modelling.

56 citations

Journal ArticleDOI
TL;DR: This work illustrates the potential of frequency-domain techniques for modeling systems where a physical interpretation is to be made of the model and where the need for accuracy requires that a measured input signal be used in estimation.
Abstract: The identification of the fuel flow to shaft speed dynamics of a twin-shaft gas turbine is addressed, with the aim of validating thermodynamic engine models. A measured input signal must be used in estimation in order to exclude the fuel feed dynamics from the model. This has been shown to present problems when fitting discrete models to engine data, and this paper examines the direct estimation of s-domain models in the frequency domain. A number of different multisine test signals were applied to the engine for the purposes of model estimation and nonlinear detection. The use of frequency-domain techniques is shown to produce high-quality models, and the tests also yield information on the levels of noise and nonlinearity and the length of the pure time delay. This work illustrates the potential of frequency-domain techniques for modeling systems where a physical interpretation is to be made of the model and where the need for accuracy requires that a measured input signal be used in estimation.

56 citations

Patent
07 Oct 1943
TL;DR: In this article, Griffith's application corresponds to the application of Alan Arnold Griffith, Serial No. 7,898/41, which was filed in Great Britain on June 23, 1941 and concerns turbines, compressors and the like of the axial flow type in which the rotor is made in two sections of different diameters.
Abstract: This application corresponds to the application of Alan Arnold Griffith, Serial No. 7,898/41, which was filed in Great Britain on June 23, 1941. This invention concerns turbines, compressors and the like of the axial-flow type in which the rotor is made in two sections of different diameters,...

55 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the effects of different traverse scanning speeds (100, 300 and 500mm/s) of cold spray nozzle on the microstructure and mechanical properties of cold-sprayed Ti6Al4V coatings.
Abstract: Cold spray has the potential to restore damaged aerospace components made from titanium alloy, Ti6Al4V at low temperature (200-400 °C). Traverse scanning speed during deposition is one of the key factors that affect the quality of the Ti6Al4V coatings as it influences the thermal build-up and coating thickness per pass. As there are fewer reported studies on this, this work investigated the effects of different traverse scanning speeds (100, 300 and 500 mm/s) of cold spray nozzle on the microstructure and mechanical properties of cold-sprayed Ti6Al4V coatings. The cross-sectional analysis showed coating porosities reduces with slower traverse speed, from 3.2 to 0.5%. In addition, the microhardness of the coatings increased from about 361-385 HV due to strain hardening. However, the adhesion strength of the coatings to the substrates significantly decreased with reduced traverse speed from about 60 MPa (glue failure) at 500 mm/s to 2.5 MPa (interface failure) at 100 mm/s. Therefore, this study revealed that the control of heat build-up and thickness per pass during the cold spray deposition of the Ti6Al4V coatings is crucial to attain the desirable properties of the coatings.

55 citations


Authors

Showing all 3845 results

NameH-indexPapersCitations
David Harvey11573894678
Shuai Wang8267027554
Feng Li7363719097
Nigel P. Brandon7141218511
Romesh C. Batra7151217497
Alexander Smits6843316552
James E. Braun6760517288
Peter J. Fleming6652924395
Yi Wang5437211827
Josep Pou5134012752
John E. Beasley5012314054
J.R. McDonald423196460
W.P. Jones4212110832
Jeffrey P. Youngblood4215112331
John Goddard411387141
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20223
2021100
2020202
2019238
2018268
2017276