Longwall mining automation an application of minimum-variance smoothing [Applications of Control]

Einicke, G.A.; Ralston, Jonathon; Hargrave, Chad; Reid, David; Hainsworth, D.W.

doi:10.1109/mcs.2008.929281

Cited by 42 publications

(22 citation statements)

References 9 publications

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“…These processes have their origins in the coal mining and metal rolling industries and the details can be found in the original work [Edwards (1974), Edwards and Greenberg (1977)]. For more control-system related discussion of coal mining refer to [Einicke et al (2008)]. Simulation studies [Edwards (1974), Edwards and Greenberg (1977), Rogers and Owens (1992)] immediately highlight the unique control problem for linear repetitive processes where the output sequence generated, that is, the sequence of pass profiles, can contain oscillations that increase in amplitude in the pass-to-pass direction.…”

Section: Models Of Linear Repetitive Processesmentioning

confidence: 99%

Multidimensional control systems: case studies in design and evaluation

Rogers

Gałkowski

Paszke

et al. 2015

Multidim Syst Sign Process

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Multidimensional control systems have been the subject of much productive research over more than three decades. In contrast to standard control systems, there has been much less reported on applications where the multidimensional setting is the only possible setting for design or produces implementations that perform to at least the same level. This paper addresses the latter area where case studies focusing on control law design and evaluation, including experimental results in one case, are reported. These demonstrate that movement towards the actual deployment of multidimensional control systems is increasing.

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Section: Models Of Linear Repetitive Processesmentioning

confidence: 99%

Multidimensional control systems: case studies in design and evaluation

Rogers

Gałkowski

Paszke

et al. 2015

Multidim Syst Sign Process

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“…The shearer removes coal by traversing the face at approximately 25 minutes intervals. Traditionally, longwall mining equipment is controlled manually, and the face is aligned in a straight line [17], [18].…”

Section: Case Studymentioning

confidence: 99%

Supervised Context Classification Methods for an Industrial Machinery

Kalisch

2015

Annals of Computer Science and Information Systems

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Abstract-The paper describes a method of supervised context classification for an industrial machinery. The main objective of this study is to compare single and ensemble classifiers in order to classify groups of contexts which are based on an operating state of the device. The applied research was conducted with the assumption that only classic and well-practised classification methods would be adopted. The comparison study was carried out using real data recorded from an industrial machinery working underground in a mine in Poland. The achieved results confirm the effectiveness of the proposed approach and also show its limitations.

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“…The Kalman filter (KF), also known as linear quadratic estimation (LQE), is one of the most used linear state estimation methods and has numerous applications [1], which include guidance, navigation, and control of vehicles [2][3][4][5]. Kalman filter is also widely applied in time series analysis in fields such as signal processing and econometrics [6,7].…”

Section: Introductionmentioning

confidence: 99%

Variational Inference of Kalman Filter and Its Application in Wireless Sensor Networks

Dong

Song

2013

International Journal of Distributed Sensor Networks

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An improved Kalman filter algorithm by using variational inference (VIKF) is proposed. With variational method, the joint posterior distribution of the states is approximately decomposed into several relatively independent posterior distributions. To avoid the difficulty of high-dimensional integrals, these independent posterior distributions are solved by using Kullback-Leibler divergence. The variational inference of Kalman filter includes two steps, the predict step and the update step, and an iterative process is included in the update step to get the optimized solutions of the posterior distribution. To verify the effectiveness of the proposed algorithm, VIKF is applied to the state estimation of discrete linear state space and the tracking problems in wireless sensor networks. Simulation results show that the variational approximation is effective and reliable for the linear state space, especially for the case with time-varying non-Gaussian noise.

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Longwall mining automation an application of minimum-variance smoothing [Applications of Control]

Cited by 42 publications

References 9 publications

Multidimensional control systems: case studies in design and evaluation

Multidimensional control systems: case studies in design and evaluation

Supervised Context Classification Methods for an Industrial Machinery

Variational Inference of Kalman Filter and Its Application in Wireless Sensor Networks

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