Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject Condition monitoring
Showing results 1 to 7 of 7
Issue Date | Title | Author(s) |
2002 | Bearing condition monitoring using acoustic emission and vibration: The systems approach | Kaewkongka, Tonphong |
2017 | Classification of ball bearing faults using a hybrid intelligent model | Seera, M; Wong, MLD; Nandi, A |
2017 | Classification of bearing faults combining compressive sampling, laplacian score, and support vector machine | Ahmed, HOA; Dennis Wong, ML; Nandi, AK |
2018 | Design and fabrication of GaPO4 ultrasonic transducer for NDT at high temperatures | Kostan, Mario |
2013 | Determination of the combined vibrational and acoustic emission signature of a wind turbine gearbox and generator shaft in service as a pre-requisite for effective condition monitoring | Soua, S; Van Lieshout, P; Perera, A; Gan, T-H; Bridge, B |
2016 | An experimental study on the applicability of acoustic emission for wind turbine gearbox health diagnosis | Chacon, JLF; Andicoberry, EA; Kappatos, V; Papaelias, M; Selcuk, C; Gan, T-H |
2016 | Fast Segmentation of Industrial Quality Pavement Images using Laws Texture Energy Measures and k-Means Clustering | Mathavan, S; Kumar, A; Kamal, K; Nieminen, M; Shah, H; Rahman, M |