Chris Bingham

Publication Activity (10 Years)

Years Active: 2012-2019
Publications (10 Years): 11

Top Topics

Industrial Systems

Fault Detection

Top Venues

Int. J. Autom. Comput.

IEEE Trans. Instrum. Meas.

Publications

Sepehr Maleki, Chris Bingham
Robust hierarchical clustering for novelty identification in sensor networks: With applications to industrial systems. Appl. Soft Comput. 85 (2019)
Jarek Grebenik, Chris Bingham, Saket Srivastava
Continuous Acoustic Monitoring of Electrical Machines; Processing Signals from USB Microphone & Mobile Smartphone Sensors Detecting DC Motor Controller Fault. CoDIT (2018)
Andrey Postnikov, Argyrios C. Zolotas, Chris Bingham, Ibrahim M. Saleh, Corneliu T. C. Arsene, Simon Pearson, Ronald Bickerton
Modelling of Thermostatically Controlled Loads to Analyse the Potential of Delivering FFR DSR with a Large Network of Compressor Packs. EMS (2017)
Yu Zhang, Chris Bingham, Mike Garlick, Michael Gallimore
Applied fault detection and diagnosis for industrial gas turbine systems. Int. J. Autom. Comput. 14 (4) (2017)
Sepehr Maleki, Chris Bingham
A one-class Clustering technique for Novelty Detection and Isolation in sensor networks. CIVEMSA (2017)
Yu Zhang, Michael Gallimore, Chris Bingham, Jun Chen, Yong Xu
Hybrid Hierarchical Clustering - Piecewise Aggregate Approximation, with Applications. Int. J. Comput. Intell. Appl. 15 (4) (2016)
Sepehr Maleki, Chris Bingham, Yu Zhang
Development and Realization of Changepoint Analysis for the Detection of Emerging Faults on Industrial Systems. IEEE Trans. Ind. Informatics 12 (3) (2016)
Zhijing Yang, Bingo Wing-Kuen Ling, Chris Bingham
norm constraint bounds. IET Signal Process. 9 (9) (2015)
Yu Zhang, Chris Bingham, Michael Gallimore, Darren Cox
Novelty detection based on extensions of GMMs for industrial gas turbines. CIVEMSA (2015)
Yu Zhang, Chris Bingham, Michael Gallimore, Sepehr Maleki
Operational pattern analysis for predictive maintenance scheduling of industrial systems. CIVEMSA (2015)
Yu Zhang, Jun Chen, Chris Bingham, Timothy J. Gordon
Variational Bayesian modified adaptive mamdani fuzzy modelling for use in condition monitoring. CIVEMSA (2015)
Zhijing Yang, Bingo Wing-Kuen Ling, Chris Bingham
Erratum to "Joint Empirical Mode Decomposition and Sparse Binary Programming for Underlying Trend Extraction". IEEE Trans. Instrum. Meas. 63 (7) (2014)
Yu Zhang, Jun Chen, Chris Bingham, Mahdi Mahfouf
A new adaptive Mamdani-type fuzzy modeling strategy for industrial gas turbines. FUZZ-IEEE (2014)
Ryan Montague, Chris Bingham
Nonlinear Control of Magnetically-geared Drive-trains. Int. J. Autom. Comput. 10 (4) (2013)
Zhijing Yang, Bingo Wing-Kuen Ling, Chris Bingham
Joint Empirical Mode Decomposition and Sparse Binary Programming for Underlying Trend Extraction. IEEE Trans. Instrum. Meas. 62 (10) (2013)
Yu Zhang, Chris Bingham, Michael Gallimore, Jun Chen
Steady-state and transient operation discrimination by Variational Bayesian Gaussian Mixture Models. MLSP (2013)
Yu Zhang, Chris Bingham, Michael Gallimore, Zhijing Yang, Jun Chen
Sensor fault detection and diagnosis based on SOMNNs for steady-state and transient operation. CIVEMSA (2013)
Yu Zhang, Chris Bingham, Michael Gallimore, Zhijing Yang, Jun Chen
Machine fault detection during transient operation using measurement denoising. CIVEMSA (2013)
Zhijing Yang, Bingo Wing-Kuen Ling, Chris Bingham
Extracting underlying trend and predicting power usage via joint SSA and sparse binary programming. ISCAS (2013)
Zhijing Yang, Chris Bingham, Bingo Wing-Kuen Ling, Michael Gallimore, Paul Stewart, Yu Zhang
Trend extraction based on Hilbert-Huang transform. CSNDSP (2012)
Zhijing Yang, Chris Bingham, Bingo Wing-Kuen Ling, Yu Zhang, Michael Gallimore, Jill Stewart
Unit Operational Pattern Analysis and Forecasting Using EMD and SSA for Industrial Systems. IDA (2012)
Jun Chen, Mahdi Mahfouf, Chris Bingham, Yu Zhang, Zhijing Yang, Michael Gallimore
An Evolutionary Based Clustering Algorithm Applied to Dada Compression for Industrial Systems. IDA (2012)