Recent medical industry has been developed from therapy-centered medicals to health advance and anti-aging materials. In the t-Healthcare industry through these active developments, engineers are focused on investigations about monitoring of patient states and various bio-signals for such objective. One of general examples is that the arterial blood volume of general bio-signals is observed by using the photoplethysmogram (PPG) monitoring systems. This paper presents an novel equipment with low power, high degree of precision, and miniaturization by Programmable System-on-Chip (PSoC) technique which includes both analog circuits and microprocessor functions, in order to measure such PPG signal..
-Fault detection and diagnosis (FDD) of photovoltaic (PV) power systems is one of significant techniques for reducing economic loss due to abnormality occurred in PV modules. This paper presents a new FDD method against PV power systems by using statistical comparison. This comparative approach includes deviation signals between the outputs of two neighboring PV modules. We first define a binary hypothesis testing under such deviation and make use of a generalized likelihood ratio testing (GLRT) theory to derive its FDD algorithm. Additionally, a recursive computational mechanism for our proposed FDD algorithm is presented for improving a computational effectiveness in practice. We carry out a real-time experiment to test reliability of the proposed FDD algorithm by utilizing a lab based PV test-bed system.
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