Anomaly Detection On Wind Turbines Based On A Deep Learning

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  • Intelligent power station relay protection anomaly

    Intelligent power station relay protection anomaly

    This study introduces a new diagnostic framework that combines improved particle swarm optimization, K-means clustering algorithms, support vector machine (SVM), and learning vector quantization neural networks to provide a comprehensive fault diagnosis and pre-diction model for. This study introduces a new diagnostic framework that combines improved particle swarm optimization, K-means clustering algorithms, support vector machine (SVM), and learning vector quantization neural networks to provide a comprehensive fault diagnosis and pre-diction model for. The new generation of intelligent substations has achieved online monitoring functions for secondary equipment, making some state variables of relay protection equipment become observable indicators. Based on this, this paper proposes a novel relay protection equipment status evaluation strategy.

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  • Distribution box detection light is on red

    Distribution box detection light is on red

    Check the electrical load and ensure that the sensors do not exceed the 10 Amp maximum. Everything else is working great. In troubleshooting I removed all the fuses from the distributor just to see if the fuse lights would not illuminate red and get green power. Any. We're getting a red light on one of the 30 amp outputs of the PDB when there's nothing connected to it. This makes fixing problems faster and keeps you safe. They help you turn off the right power fast in emergencies.


  • Detection radius of temperature-sensing optical cable

    Detection radius of temperature-sensing optical cable

    To investigate the optimal radial-arranged-position of the optical fiber in the cross-linked polyethylene (XLPE) power cable, the fibers were arranged into three positions, including segmental conductor c.


  • Fiber Optic Grating Strain Detection

    Fiber Optic Grating Strain Detection

    Abstract: Fiber-optic sensing of temperature and strain over many advantages over electronic sensors. Fibre Bragg grating (FBG) strain sensors are not only a very well-established research field, but they are also acquiring a bigger market share due to their sensitivity and low costs. In this article, these sensor principles are. It covers both Fiber Bragg Grating (FBG) based sensors and plastic fiber optic strain sensors.


  • UV Light Detection Module

    UV Light Detection Module

    The module includes an LM358 dual op amp which converts the current output of the sensor to a voltage and then amplifies that output so that it can be read by the analog input on an MCU for taking UV readings. The first stage op amp. The module includes an LM358 dual op amp which converts the current output of the sensor to a voltage and then amplifies that output so that it can be read by the analog input on an MCU for taking UV readings. The first stage op amp outputs a voltage proportional to 4.3 * sensor photocurrent in µA. If the photocurrent is 0.1µA (0.09mW/cm^2), then t. The module brings out the following connections. 1 x 3 Header 1. SIG orSIO= Signal Output – Connect to MCU analog input 2. GND= Ground 3. VCC= 2.7V to 5.5V. Connect to Vcc of the MCU (typically 3.3 or 5V)The module ships with the male header strip loose. The header can be soldered to the top or bottom of the module depending on the planned use or wires can be used to make the connections. For breadboard use, we put the headers on the bottom. Soldering is easiest if the header is inserted into a solderless breadboard to hold it in position during th.

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