Machine condition monitoring is important to factory efficiency and safety of workers. A variety of vibration signals analysis techniques have long been used to diagnosis machine status. Based on the newest Internet and mobile communication technology we developed a remote fault diagnostic system with many merits. This remote monitoring system takes XML as a core and uses it to encode diagnosti...

Occurrence of a multiple-points fault in machine operations could result in exhibiting complex fault signatures, which could result in lowering fault diagnosis accuracy. In this study, a multiple-points defect model (MPDM) is proposed which can simulate fault signature’s dynamics for n-points bearing faults. Furthermore, this study identifies that in case of multiple-points fault in the rotary ...

This thesis is comprised of two parts (1) development of unimodal and multimodal computer-aided diagnostic tools (CADTs) for seizure disorder and (2) a novel method for optimization of hyperparameters in machine learning models. The aims of CADTs are to address key challenges in the diagnosis and treatment of seizure disorder, including reducing the time to an accurate diagnosis, improving the ...

Ishaemic heart disease is one of the world’s most important causes of mortality, so improvements and rationalization of diagnostic procedures would be very useful. The four diagnostic levels consist of evaluation of signs and symptoms of the disease and ECG (electrocardiogram) at rest, sequential ECG testing during the controlled exercise, myocardial scintigraphy and finally coronary angiograph...

Introduction: Visual evoked potentials contain certain diagnostic information which have proved to be of importance in the visual systems functional integrity. Due to substantial decrease of amplitude in extra macular stimulation in commonly used pattern VEPs, differentiating normal and abnormal signals can prove to be quite an obstacle. Due to developments of use of machine l...