Browsing by Author "Cao, Yi"

Browsing by Author "Cao, Yi"

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  • Petroleum refinery scheduling with consideration for uncertainty 
    Hamisu, Aminu Alhaji (Cranfield University, 2015-07)
    Scheduling refinery operation promises a big cut in logistics cost, maximizes efficiency, organizes allocation of material and resources, and ensures that production meets targets set by planning team. Obtaining accurate ...
  • Prediction of Convergence Dynamics of Design Performance using Differential Recurrent Neural Networks 
    Cao, Yi; Jin, Yaochu; Kowalczykiewicz, Michal; Sendhoff, Bernhard (2008-12-31)
    Computational Fluid Dynamics (CFD) simulations have been extensively used in many aerodynamic design optimization problems, such as wing and turbine blade shape design optimization. However, it normally takes very long ...
  • Predictive condition monitoring of industrial systems for improved maintenance and operation 
    Ruiz Cárcel, Cristóbal (Cranfield University, 2014-07)
    Maintenance strategies based on condition monitoring of the different machines and devices in an industrial process can minimize downtime, increase the safety of plant operations and help in the process of decision-taking ...
  • Predictive control for the ALSTOM gasifier problem. 
    Seyab, R. K. A.; Cao, Yi; Yang, Shuang-Hua (Institution of Electrical Engineers, 2006-05-09)
    Model predictive control (MPC) has become the first choice of control strategy in many cases especially in the process industry because it is intuitive and can explicitly handle MIMO (multiple input multiple output) ...
  • Receding horizon control for oil reservoir waterflooding process 
    Grema, Alhaji Shehu; Cao, Yi (Taylor and Francis, 2017-10-02)
    Waterflooding is a recovery technique where water is pumped into an oil reservoir for increase in production. Changing reservoir states will require different injection and production settings for optimal operation which ...
  • Retrofit self-optimizing control of Tennessee Eastman process 
    Ye, Lingjian; Cao, Yi; Yuan, Xiaofeng; Song, Zhihuan (Institute of Electrical and Electronics Engineers, 2016-05-19)
    This paper considers near-optimal operation of the Tennessee Eastman (TE) process by using a retrofit self-optimizing control (SOC) approach. Motivated by the factor that most chemical plants in operation have already been ...
  • Retrofit self-optimizing control: a step forward towards real implementation 
    Ye, L.; Cao, Yi; Yuan, X.; Song, Z. (Institute of Electrical and Electronics Engineers (IEEE), 2017-02-14)
    After 15 year development, it is still hard to find any real application of the self-optimizing control (SOC) strategy, although it can achieve optimal or near optimal operation in industrial processes without repetitive ...
  • A review of kernel methods for feature extraction in nonlinear process monitoring 
    Pilario, Karl Ezra; Shafiee, Mahmood; Cao, Yi; Lao, Liyun; Yang, Shuang-Hua (MDPI, 2019-12-23)
    Kernel methods are a class of learning machines for the fast recognition of nonlinear patterns in any data set. In this paper, the applications of kernel methods for feature extraction in industrial process monitoring are ...
  • Self-optimizing control – A survey 
    Jäschke, Johannes; Cao, Yi; Kariwala, Vinay (Elsevier Science B.V., Amsterdam., 2017-04-04)
    Self-optimizing control is a strategy for selecting controlled variables. It is distinguished by the fact that an economic objective function is adopted as a selection criterion. The aim is to systematically select the ...
  • Severe slug mitigation in an S-shape pipeline-riser system by an injectable venturi 
    Inok, Joseph; Lao, Liyun; Cao, Yi; Whidborne, James F. (Elsevier, 2019-08-21)
    Severe slugging is a cyclic flow regime that causes pressure, flow and temperature oscillations which leads to an intermittent delivery of liquid (oil and water) and gas to processing facilities during hydrocarbon extraction ...
  • Slug flow regime in a flowline with U-shape riser 
    Tandoh, Henry; Nnabuife, Somtochukwu Godfrey; Cao, Yi; Lao, Liyun; Whidborne, James F. (Elsevier, 2022-10-29)
    A suitable initial point for understanding multiphase flows is a phenomenological description of the mechanism of geometric distributions or flow patterns that are observed. The challenge however is the prediction of the ...
  • Stabilising slug flow at large valve opening using an intermittent absorber 
    Ehinmowo, Adegboyega Bolu (Cranfield University, 2015-07)
    Slugging is one of the challenges usually encountered in multiphase transportation of oil and gas. It is an intermittent flow of liquid and gas which manifests in pressure and flow fluctuations capable of causing upset in ...
  • Stability analysis of slug flow control 
    Ehinmowo, Adegboyega Bolu; Cao, Yi (Taylor and Francis, 2016-07-31)
    The threat of slugging to production facilities has been known since the 1970s. This undesirable flow phenomenon continues to attract the attention of researchers and operators alike. The most common method for slug ...
  • State-space independent component analysis for nonlinear dynamic process monitoring 
    Odiowei, P. P.; Cao, Yi (Elsevier Science B.V., Amsterdam., 2010-08-15)
    The cost effective benefits of process monitoring will never be over emphasised. Amongst monitoring techniques, the Independent Component Analysis (ICA) is an efficient tool to reveal hidden factors from process measurements, ...
  • Statistical process monitoring of a multiphase flow facility 
    Ruiz Carcel, Cristobal; Cao, Yi; Harrison, David; Lao, Liyun; Samuel, Raphael (Elsevier, 2015-06-16)
    Industrial needs are evolving fast towards more flexible manufacture schemes. As a consequence, it is often required to adapt the plant production to the demand, which can be volatile depending on the application. This is ...
  • Studies on non-linear dynamic process monitoring 
    Iketubosin, P. P. (Cranfield University, 2011-07)
    Owing to the numerous benefits of process monitoring, the subject has attracted a lot of attention in the last two decades. Process monitoring is an art of identifying abnormal deviations in a process from the normal ...
  • Subset measurement selection for globally self-optimizing control of Tennessee Eastman process 
    Ye, Lingjian; Cao, Yi; Yuan, Xiaofeng; Song, Zhihuan (Elsevier, 2016-08-09)
    The concept of globally optimal controlled variable selection has recently been proposed to improve self-optimizing control performance of traditional local approaches. However, the associated measurement subset selection ...
  • Use of spectral kurtosis for improving signal to noise ratio of acoustic emission signal from defective bearings 
    Ruiz Cárcel, Cristóbal; Hernani-Ros, E.; Cao, Yi; Mba, David (Springer Verlag, 2014-03)
    The use of Acoustic Emission (AE) to monitor the condition of roller bearings in rotating machinery is growing in popularity. This investigation is centred on the application of Spectral Kurtosis (SK) as a denoising tool ...
  • Using Coriolis Mass Flowmeter for Wet Gas Metering 
    Geng, Y. F.; Yeung, Hoi; Cao, Yi; Xing, L. C.; Zhu, H.; Drahm, W. (Institute of Measurement & Control, 2010-07-31)
    Established wet gas metering techniques are typically based on differential pressure devices, and their measurement accuracy is still unsatisfactory to natural gas industry. Coriolis mass flowmeter (CMF) is the most ...
  • Variable sampling-time nonlinear model predictive control of satellites using magneto-torquers 
    Cao, Yi; Chen, Wen-Hua (Taylor & Francis, 2014-09-30)
    Satellite control using magneto-torquers represents a control challenge combined with strong nonlinearity, variable dynamics and partial controllability. An automatic differentiation-based nonlinear model predictive control ...