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PM2.5 (particulate matter in the atmosphere with a diameter no more than 2.5 microns) in the air can cause great damage to human beings. It's a great challenge to offer a fine-grained and accurate PM2.5 monitoring service in urban areas as the required facilities are very expensive and huge. Since the PM2.5 has a significant scattering effect on visible light, the large-scale user-contributed image...
We propose a novel in-band optical signal-to-noise ratio (OSNR) monitor based on asymmetrical parallel Mach–Zehnder interferometers (A-PMZI). By exploiting two different lengths of delay arms in the A-PMZI, the monitor requires no prior knowledge of the noise-free coherence properties of the signal. The A-PMZI is fabricated on a SOI platform and demonstrated for OSNR monitoring of 4 × 28 GBd NRZ-QPSK...
Oil-impregnated paper bushing (OIP) is one of the key devices in transformer. Recently, several severely failure of OIP initiated explosion that destroyed large network transformers. A high expense of failures urged people to research the condition monitoring of the insulation defect of OIP. In this paper, the insulation defect of OIP is classified statistics based on the fault positions sourced by...
The failure rate of XLPE (Cross-linked polyethylene) cable joints is higher than that of cable in distribution systems due to bad environmental conditions, improper installation, and aging. To evaluate the failure and degradation of a cable joint via partial discharge (PD) detection, a 10kV XLPE cable joint was selected as the experimental sample, which was found partial discharge by field testing...
Junction temperature monitoring of IGBT modules is crucial for power devices in high power applications. In this paper, a thermo-sensitive electrical parameter based on the maximum collector current falling rate -dIC/dtmax for trench/field-stop IGBT junction temperature extraction is outlined. The inherent monotonic relationship between the maximum collector current falling rate and chip temperature...
Three-band model was originally used to retrieve chlorophyll-a concentrations of terrestrial plant leaves. Since turbid productive waters also contain much chlorophyll-a, the model was then adjusted to aquatic medium. With a more accurate physical mechanism than statistical methods and a less complicated model than analytical methods, three-band model has obtained wide applications in chlorophyll-a...
Working conditions are monitoring parameters are huge and neural network learning time too long in the condition monitoring of multi word condition equipment. To improve monitoring efficiency, a joint rough set attribute reduction (RSAR) and Fuzzy ART (adaptive resonance theory) neural network method is proposed in this study. The dimension of an input vector to Fuzzy ART neural networks can be reduced...
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