Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A vibration analyzer is configured to analyze vibration of a machine component and which is capable of performing an operation on a basis of a signal received from an information terminal and transmitting a signal obtained as a result of the operation to the information terminal. The vibration analyzer includes a vibration sensor configured to detect a vibration of the machine component, a filter processing unit configured to extract a predetermined frequency band from a waveform of a signal detected by the vibration sensor, and a calculation processing unit configured to analyze frequency of a waveform after filter processing obtained by the filter processing unit and to obtain spectrum data. Accordingly, it is possible to reduce a data amount to be transmitted between the analyzer and the information terminal, thereby shortening data transfer time.

Abstract: 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.

Abstract: 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.

Abstract: A vibration analyzer is configured to analyze vibration of a machine component and which is capable of performing an operation on a basis of a signal received from an information terminal and transmitting a signal obtained as a result of the operation to the information terminal. The vibration analyzer includes a vibration sensor configured to detect a vibration of the machine component, a filter processing unit configured to extract a predetermined frequency band from a waveform of a signal detected by the vibration sensor, and a calculation processing unit configured to analyze frequency of a waveform after filter processing obtained by the filter processing unit and to obtain spectrum data. Accordingly, it is possible to reduce a data amount to be transmitted between the analyzer and the information terminal, thereby shortening data transfer time.

Abstract: A abnormality diagnosing apparatus used in a machine equipment including a rotating or sliding part relative to a stationary member includes a detecting portion 31 fixed to the rotating or sliding part or the stationary member and including a vibration sensor 32 and a temperature sensor 33, and a signal processing portion 81 for determining a state of the part from a detecting signal outputted by the detecting portion 31. The signal processing portion 81 determines 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 sensor 32 and a measured result by the temperature sensor 33.

Abstract: Provided are an envelope processor 103, for obtaining an envelope for a detected signal; a FFT unit 104, for converting the envelope into a frequency spectrum; a peak detector 105, 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.

Abstract: 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 (1) and a user information processing terminal (3) which are connected through a network (2). The diagnosis processing server (1) 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 (2) from the user information processing terminal 3, makes an anomaly diagnosis of the machine installation based on the received data, and transmits the diagnosis result through the network (2) to the user information processing terminal (3), thereby lightening the burden of the user and executing anomaly diagnosis processing promptly.

Abstract: A abnormality diagnosing apparatus used in a machine equipment including a rotating or sliding part relative to a stationary member includes a detecting portion 31 fixed to the rotating or sliding part or the stationary member and including a vibration sensor 32 and a temperature sensor 33, and a signal processing portion 81 for determining a state of the part from a detecting signal outputted by the detecting portion 31. The signal processing portion 81 determines 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 sensor 32 and a measured result by the temperature sensor 33.

Abstract: Provided are an envelope processor 103, for obtaining an envelope for a detected signal; a FFT unit 104, for converting the envelope into a frequency spectrum; a peak detector 105, 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.

Abstract: An object of the invention is to provide an anomaly diagnosis apparatus of a machine installation for eliminating the need for the user to have a dedicated analytical instrument or a skill required for anomaly diagnosis of a sliding member and enabling the user to easily make an anomaly diagnosis request with a small burden and get the diagnosis result promptly. In the invention, 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 is made up of a diagnosis processing server (1) and a user information processing terminal (3) which are connected through a network (2).

Abstract: An object of the invention is to provide an anomaly diagnosis apparatus of a machine installation for eliminating the need for the user to have a dedicated analytical instrument or a skill required for anomaly diagnosis of a sliding member and enabling the user to easily make an anomaly diagnosis request with a small burden and get the diagnosis result promptly. In the invention, 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 is made up of a diagnosis processing server (1) and a user information processing terminal (3) which are connected through a network (2).

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: An object of the invention is to provide an anomaly diagnosis apparatus of a machine installation for eliminating the need for the user to have a dedicated analytical instrument or a skill required for anomaly diagnosis of a sliding member and enabling the user to easily make an anomaly diagnosis request with a small burden and get the diagnosis result promptly.