Ntn Corporation

Takashi Haseba

Yosuke Suzuki

Akitoshi Takeuchi

Hitoshi Saito

Toru Takahashi

Hiroshi Ikeda

Wataru Hatakeyama

Makoto Miyazaki

Keisuke Hashizume

Kazuki Koyamachi

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.

Condition monitoring system

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.

Condition monitoring system and wind turbine generation apparatus

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.

Condition monitoring apparatus, condition monitoring system, and condition monitoring method

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.

State monitoring system

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.

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Kuwana, Japan

Takashi Haseba