The following paper will describe a methodology for automatically detecting and diagnosing rolling element bearing wear. The techniques involved have been proven in over 15 years of use in a huge variety of environments, machine types and applications. The techniques involved in diagnosing bearing wear will be described in detail and supported by a set of example graphs and an annotated diagnos...

Abstrac tAn integration in a framework of e-diagnostic and e-maintenance components based on web-services has been developed for industrial monitoring systems. The aim is to perform tele-monitoring, diagnostic and maintenance tasks for industrial monitoring systems working in dynamic conditions of commitments, suppliers, and customers. The framework has been customized initially for an elevator...

Coronary calcium causes beam hardening and blooming artifacts on cardiac computed tomography angiography (CTA) images, which lead to overestimation of lumen stenosis and reduction of diagnostic specificity. To properly remove coronary calcification and restore arterial lumen precisely, we propose a machine learning-based method with a multi-step inpainting process. We developed a new network co...

Clinical practice guidelines (CPG) propose preventive, diagnostic and treatment strategies based on the best available evidence. CPG enable practice of evidencebased medicine and bring about standardization of healthcare delivery in a given hospital, region, country or the whole world. This study explores generation of guidelines from data using machine learning, causal discovery methods and th...

In the paper we present OvaExpert a unique tool for supporting gynecologists in the diagnosis of ovarian tumor, combining classical diagnostic scales with modern methods of machine learning and soft computing. A distinguishing feature of the system is its comprehensiveness, which makes it usable at any stage of a diagnostic process. We gather all the results and solutions making up the system, ...

Many pattern recognition and machine learning methods have been used in cancer diagnosis. The Artificial Immune System (AIS) is a novel computational intelligence technique. Designed by the principles of the natural immune system, it is able of learning, memorize and perform pattern recognition. The AIS’s are used in various domains as intrusion detection, robotics, illnesses diagnostic, data m...

Abstmct The paper preknts a novel AI-ANN neural network global on-line fault detection, pa& tern classification, and relaying detection acheme for synchronous generators in interconnected electric utility networks. The input discriminant vector comprises the dominant FFT frequency spectra of eighteen input variables forming the discriminant diagnostic hyperplane. The on-line ANN based relaying ...

Successful machine diagnosis consists not only of sound diagnostic reasoning, but also the selection of appropriate repairs, sequencing the repairs correctly, interactively validating the success of each repair, and performing follow-on diagnosis in case of repair failure. We discuss some of the issues involved in formulating a repair strategy for an expert system, review some aspects of expert...

This paper introduces a new diagnostic technique for the detection of incipient electrical rotor faults in doubly fed induction Machine (DFIM) for wind power systems. In the considered application, the rotor is supplied by a static converter for the control of active and reactive power flows from the generator to the electrical grid. A new diagnostic method based on the rotor modulating signals...

introduction: this study sought to assess the effects of amperage (ma) and field of view (fov) on intracanal metal post artifacts and the diagnostic parameters for detection of vertical root fracture (vrf) in teeth with intracanal posts. methods and materials: in this diagnostic study, 80 human single-canal teeth were evaluated by cone-beam computed tomography (cbct). nickel chrome cast posts w...