Abstract: A condition monitoring system includes a monitoring terminal, an acceleration sensor, and a data processor. The data processor calculates a diagnostic parameter from data measured by the acceleration sensor, determines a degree of damage to a bearing or a gear included in a wind turbine generator based on the diagnostic parameter, and controls the monitoring terminal to show information indicating a degree of suppression of electric power generated by the wind turbine generator in accordance with the degree of damage to the bearing or the gear.

Abstract: A condition monitoring system includes a monitoring terminal, an acceleration sensor, and a data processor. The data processor calculates a diagnostic parameter from data measured by the acceleration sensor, determines a degree of damage to a bearing or a gear included in a wind turbine generator based on the diagnostic parameter, and controls the monitoring terminal to show information indicating a degree of suppression of electric power generated by the wind turbine generator in accordance with the degree of damage to the bearing or the gear.

Abstract: The condition monitoring system is for monitoring the conditions of a piece of equipment and includes: a sensor configured to be installed to the piece of equipment; a data instrumentation unit configured to receive a sensing signal from the sensor to acquire instrumentation data from the sensing signal under a predefined instrumentation condition; and a data diagnosis unit configured to receive the instrumentation data from the data instrumentation unit and use the instrumentation data to perform a diagnosis process to diagnose the conditions of the piece of equipment. The data diagnosis unit includes an edge application and an industrial IoT platform. The edge application includes a data collection and analysis module, and the data collection and analysis module is configured to calculate a feature for the instrumentation data from the data instrumentation unit and broadcast the feature to the industrial IoT platform.

Abstract: A condition monitoring system includes a data measurement device, a data analyzer, and a diagnosis device. The data measurement device obtains, according to a measurement condition provided, measurement data from a detection signal of a sensor. The data analyzer performs an analysis process on the measurement data obtained by the data measurement device. The diagnosis device performs a diagnosis process of diagnosing a condition of a facility based on an analysis result obtained through the analysis process. The data analyzer sets the measurement condition and an analysis condition for the analysis process based on a time required for the analysis process and the diagnosis process.

Abstract: A condition monitoring system includes a vibration sensor for measuring a vibration waveform of a bearing in a wind turbine generation apparatus and a data processor for diagnosing abnormality of the bearing. In the data processor, an evaluation value computing unit time-sequentially computes an evaluation value that characterizes an effective value of vibration waveform data output from the vibration sensor within a certain time. A diagnosis unit diagnoses abnormality of the bearing based on transition of temporal change of the evaluation value. The evaluation value computing unit computes the minimum value of the effective values of vibration waveform data within a certain time, as the evaluation value.

Abstract: A data processing device includes a peak detector that detects a peak from a frequency spectrum and a map generator that generates an abnormality map for the frequency spectrum. The abnormality map includes as abnormal components, a frequency of a detected peak of interest and a frequency of a peak that appears together with the peak of interest when the peak of interest is assumed as the peak originating from abnormality. The data processing device includes an abnormal peak extractor that extracts as an abnormal peak, a peak at a frequency that matches with any of the abnormal components included in the abnormality map and a first criterion value calculator that calculates a first criterion value representing occurrence of abnormality corresponding to the abnormality map based on a spectral density of the abnormal peak.

Abstract: A condition monitoring system includes a monitoring terminal, an acceleration sensor, and a data processor. The data processor calculates a diagnostic parameter from data measured by the acceleration sensor, determines a degree of damage to a bearing or a gear included in a wind turbine generator based on the diagnostic parameter, and controls the monitoring terminal to show information indicating a degree of suppression of electric power generated by the wind turbine generator in accordance with the degree of damage to the bearing or the gear.

Abstract: A data processing device includes a peak detector that detects a peak from a frequency spectrum and a map generator that generates an abnormality map for the frequency spectrum. The abnormality map includes as abnormal components, a frequency of a detected peak of interest and a frequency of a peak that appears together with the peak of interest when the peak of interest is assumed as the peak originating from abnormality. The data processing device includes an abnormal peak extractor that extracts as an abnormal peak, a peak at a frequency that matches with any of the abnormal components included in the abnormality map and a first criterion value calculator that calculates a first criterion value representing occurrence of abnormality corresponding to the abnormality map based on a spectral density of the abnormal peak.

Abstract: A vibration sensor measures a vibration waveform of a mechanical component. A processor detects a change in the vibration waveform. The processor includes an evaluation value computing unit and a detector. The evaluation value computing unit time-sequentially computes an evaluation value that characterizes a root-mean-square value of vibration waveform data output from the vibration sensor within a prescribed time period. The detector detects a change in the vibration waveform based on the evaluation value. The evaluation value computing unit computes, as the evaluation value, a value based on kurtosis and skewness of a distribution of the root-mean-square value within the prescribed time period.

Abstract: Provided is a state monitoring system that monitors a state of an apparatus provided in a wind turbine, including a wireless measuring unit including a sensor provided to the apparatus, and a data collection. The wireless measuring unit includes a memory storing measured data obtained from the sensor, and a wireless communication unit transmitting the measured data obtained from the sensor to the data collection device. When the data collection device has not been able to receive the measured data from the wireless measuring unit, the data collection device requests the wireless measuring unit to retransmit the measured data.

Abstract: A condition monitoring system includes a vibration sensor for measuring a vibration waveform of a bearing in a wind turbine generation apparatus and a data processor for diagnosing abnormality of the bearing. In the data processor, an evaluation value computing unit time-sequentially computes an evaluation value that characterizes an effective value of vibration waveform data output from the vibration sensor within a certain time. A diagnosis unit diagnoses abnormality of the bearing based on transition of temporal change of the evaluation value. The evaluation value computing unit computes the minimum value of the effective values of vibration waveform data within a certain time, as the evaluation value.

Abstract: Provided are a vibration analyzer and an abnormality diagnosis system capable of listening to vibration data in response to a user's request. The vibration analyzer includes a display, an audio output unit, an input unit, and a controller. The input unit receives an input from the user. The controller displays a graph on the display. The graph is based on data measured by a vibration sensor mounted on a measurement object. The controller outputs a sound from the audio output unit in response to the input to the input unit by the user. The sound corresponds to the graph displayed on the display.

Abstract: Provided is a state monitoring system that monitors a state of an apparatus provided in a wind turbine, including a wireless measuring unit including a sensor provided to the apparatus, and a data collection device. The wireless measuring unit includes a memory storing measured data obtained from the sensor, and a wireless communication unit transmitting the measured data obtained from the sensor to the data collection device. When the data collection device has not been able to receive the measured data from the wireless measuring unit, the data collection device requests the wireless measuring unit to retransmit the measured data.

Abstract: A wind turbine includes vibration sensors for detecting conditions of apparatuses in the wind turbine. Each of detection outputs of the vibration sensors is transmitted to an information processing device. The information processing device is arranged inside a support column of the wind turbine. The information processing device transmits the detection outputs to a management server over a network.

Abstract: A wind power generation apparatus includes a sensor which senses a quantity of light transmitted through a lubricant supplied to a gear box internal to a nacelle, and a monitor which monitors a state of the lubricant based on an output of the sensor. The monitor calculates as a normal standard deviation ?normal a standard deviation of the sensor output value in a normal operation in which a foreign matter is not introduced in the lubricant, generates as a threshold value for abnormality determination ?sh the calculated normal standard deviation ?normal multiplied by a real number, and stores the generated threshold value ?sh. And the monitor determines whether a foreign matter is introduced in the lubricant based on a result of comparing the sensor output value's standard deviation ? with threshold value ?sh.

Abstract: A condition monitoring system that diagnoses an abnormality of an apparatus provided in a wind turbine includes a monitoring apparatus including a sensor provided for the apparatus, a monitoring-side control apparatus that sets a threshold value to be used by the monitoring apparatus for diagnosing the abnormality of the apparatus, and diagnoses the abnormality of the apparatus based on the threshold value, and a monitoring terminal that monitors a condition of the apparatus. The condition monitoring system can correctly diagnose an abnormality of the apparatus provided in the wind turbine.

Abstract: Provided is a monitoring system for monitoring states of apparatuses of a wind turbine which achieves further cost reduction. The monitoring system for the wind turbine includes: microphones arranged inside a nacelle holding a main shaft, a gearbox, a power generator, and a main bearing of the wind turbine therein to obtain acoustic data; a data collection device (data collection unit) which collects the data and transfers the data to a server on the Internet; the server (comparison and diagnosis unit) which saves, compares, and diagnoses the transferred data; and a monitoring terminal (display monitoring unit) which displays and monitors the result of diagnosis.

Abstract: A condition monitoring system that diagnoses an abnormality of an apparatus provided in a wind turbine includes a monitoring apparatus including a sensor provided for the apparatus, a monitoring-side control apparatus that sets a threshold value to be used by the monitoring apparatus for diagnosing the abnormality of the apparatus, and diagnoses the abnormality of the apparatus based on the threshold value, and a monitoring terminal that monitors a condition of the apparatus. The condition monitoring system can correctly diagnose an abnormality of the apparatus provided in the wind turbine.