Nsk Corporation

Takanori Miyasaka

Yasushi Mutoh

Juntaro Sahara

Hirotoshi Aramaki

Yoshihiro Sato

Yasushi Muto

Kenichi Shibasaki

Yingyi Wen

Yasushi Mutou

Masanobu Yamazoe

Shinichiro Asaeda

Toshimitsu Maekawa

Osamu Yoshimatsu

An information terminal is configured to extract a predetermined frequency band from a waveform of a signal of a machine component detected by a vibration sensor, to compare an analyzed frequency component and a damaging frequency resulting from a damage of the machine component, and to diagnose abnormality of the machine component. The information terminal includes a database in which the damaging frequency resulting from the damage of the machine component is preserved as a converted damaging frequency obtained by converting the damaging frequency on a basis of a predetermined rotating speed of the machine component. The damaging frequency is provided by calculating the converted damaging frequency in the database by using an actual rotating speed of the machine component. Accordingly, it is possible to keep specifications of a machine component confidential without preserving the specifications of the machine component.

Information terminal and machine component diagnosis system

An abnormality diagnosis method of a rolling bearing used in rotating machinery includes: a time acquisition step of acquiring, from an output signal detected by a sensor during the rotation of the rolling bearing, an entry time when a rolling element enters a flaking region of a bearing ring, and an escape time when the rolling element escapes from the flaking region of the bearing ring; and an estimation step of estimating a flaking size based on a flaking passage time, which is a time difference between the entry time and the escape time. When the bearing ring receives repeated load from the rolling element, the progress of the flaking occurring in the bearing ring can be quantitatively evaluated.

Method and device for diagnosing abnormality in rolling bearing

A abnormality diagnosing apparatus used in a machine equipment including a rotating or sliding part relative to a stationary member includes a detecting portionfixed to the rotating or sliding part or the stationary member and including a vibration sensorand a temperature sensor, and a signal processing portionfor determining a state of the part from a detecting signal outputted by the detecting portion. The signal processing portiondetermines presence or absence of a abnormality, or presence or absence of the abnormality and a degree of a damage of the part based on a combination of a measured result by the vibration sensorand a measured result by the temperature sensor

Abnormality diagnosing apparatus and abnormality diagnosing method

Provided are an envelope processor, for obtaining an envelope for a detected signal; a FFT unit, for converting the envelope into a frequency spectrum; a peak detector, for smoothing the frequency spectrum by calculating a moving average, for further performing smoothing and differentiation for the spectrum, and detecting, as peaks, frequency points at which a sign of a differential coefficient is changed from positive to negative, for extracting peaks having a predetermined threshold value or greater, and for sorting the extracted peaks and detecting upper peaks; and a diagnosis processor T, for diagnosing an abnormality based on the detected peaks.

Abnormality diagnosing system for mechanical equipment

An anomaly diagnosis apparatus for analyzing sound or vibration data produced by a machine installation and diagnosing the presence or absence of an anomaly in a sliding member in the machine installation which is made up of a diagnosis processing server () and a user information processing terminal () which are connected through a network (). The diagnosis processing server () receives the sound or vibration data produced by the machine installation and information for identifying the sliding member used with the machine installation through the network () from the user information processing terminal, makes an anomaly diagnosis of the machine installation based on the received data, and transmits the diagnosis result through the network () to the user information processing terminal (), thereby lightening the burden of the user and executing anomaly diagnosis processing promptly.

Anomaly diagnosis apparatus and method of machine installation

An abnormality diagnosis system for diagnosing a presence or absence of an abnormality of a bearing unit for a railway vehicle axle, comprises a sensing/processing portion for outputting a signal generated from the bearing unit as an electric signal, a calculating/processing portion for making an abnormality diagnosis of the bearing unit based on an output of the sensing/processing portion, a result outputting portion for outputting a decision result of the calculating/processing portion, and a controlling/processing portion for feeding back a control signal to a control system of the railway vehicle based on the decision result.

Growing community of inventors

Fujisawa, Japan

Takanori Miyasaka