Ntn Corporation

Kouma Katou

Tomoya Sakaguchi

Hideyuki Tsutsui

Masashi Kitai

An abnormality diagnosis device according to the present invention detects damage to a bearing device based on vibration data on acceleration of the bearing device. The abnormality diagnosis device includes a first filter, a second filter, and a diagnosis unit. The first filter is configured to extract a first vibration waveform belonging to a frequency band from the vibration data. The second filter is configured to extract a second vibration waveform belonging to a second frequency band higher than the first frequency band from the vibration data. The diagnosis unit is configured to diagnose that there is damage to the bearing device when an evaluation value calculated by dividing a first amplitude of the vibration waveform by a second amplitude of a second vibration waveform at a time at which the first amplitude has occurred exceeds a determination value, the first amplitude exceeding a reference value.

Abnormality diagnosis device and abnormality diagnosis method

A condition monitoring system for a wind turbine includes: each sensor to sense a condition of equipment; a monitor device configured to generate a diagnosis parameter based on a detection result of each sensor; a data server configured to diagnose a failure of the equipment based on the diagnosis parameter; and a rotation angle sensor for sensing the nacelle's rotation speed. The data server is configured to correct the diagnosis parameter based on a sensed result of the rotation angle sensor, and diagnose whether the equipment has a failure by comparing the corrected diagnosis parameter with a predetermined threshold value.

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Kuwana, Japan

Kouma Katou