Kobe Steel, Ltd.

Kabushiki Kaisha Kobe Seiko Sho

Kaname Araki

Eiji Takahashi

Masato Hayashi

Shugo Takaki

Chitaka Manabe

Shin Iwasaki

Yasuharu Matsumoto

Ryo Tabuse

Tatsuru Miyamoto

Masato Kannaka

Koyo Kegasa

Koichi Akazawa

Katsuhiko Ozaki

Yuya Yamamoto

Yoshinori Kurioka

Hiroyuki Kamura

Tsuyoshi Ashida

In a rotating machine abnormality detection device, a rotating machine abnormality detection method, and a rotating machine according to the present invention, vibration caused by at least one of first and second rotating bodies is measured, a predetermined feature amount related to a frequency component is obtained based on a frequency spectrum of the measurement data, and determination is made on presence/absence of abnormality based on the obtained predetermined feature amount. On this occasion, when determination is made that abnormality is present, determination whether the determination of abnormality is caused by noise or not is made based on the frequency spectrum, and when determination is made that the determination of abnormality is not caused by the noise, the determined abnormality is ultimately considered as abnormality.

Rotating machine abnormality detection device and method, and rotating machine

An abnormality treatment apparatus includes: a sensor which outputs a signal upon detecting an event caused by contact of a rotor of a rotating machine during rotation of the rotor; and a control unit which executes at least one of rotation number control of reducing the number of rotations of the rotor step by step, liquid injection control of injecting liquid into a housing chamber of the rotor step by step, and pressure control of lowering a discharge pressure of the rotating machine step by step based on reception of the signal output from the sensor.

Abnormality treatment apparatus for rotating machine, and rotating machine system

This pelletizer apparatus includes an observation unit for observing, from the outside of a housing chamber, a cut section of a synthetic resin cut by cutting teeth inside the housing chamber. The observation unit includes an optical system which sends an optical image of the cut section from the inside of the housing chamber to the outside of the housing chamber. Thus, with this pelletizer apparatus, the cut section can be visually checked clearly via the optical system.

Pelletizer apparatus

A resin pelletizer apparatus () is provided with: a die () that has a die surface () having a die hole () formed therein; a rotary blade () that cuts a resin extruded from the die hole () into a pellet shape in water when being rotated on the die surface () in the water; a sensor () that detects elastic waves generated by the rotary blade () during the rotation on the die surface (); and a determination unit () that monitors the output value of the sensor () and determines that an abnormality has occurred when the output value of the sensor () is outside a predetermined range (R).

Resin pelletizer apparatus and abnormality determination method for resin pelletizer apparatus

A first determination unit performs a process (first process) of sequentially dividing an intensity value constituting first data by a reference intensity value to calculate an intensity ratio and determining whether the intensity ratio exceeds a first threshold (steps Sand S). When a predetermined period has elapsed, a second determination unit calculates an average change rate of the first data in the predetermined period to determine whether the average change rate is within a predetermined range (steps Sand S). When it is determined that the average change rate is within the range, the reference intensity value is updated and lowered (step S). When the reference intensity value is updated, the first determination unit performs the first process by using the updated reference intensity value in the next predetermined period.

Rotating machine abnormality detection device, rotating machine abnormality detection method, and rotating machine

A system for detecting an abnormality of rotating machines includes two or more devices for detecting an abnormality and a computer. The respective devices include a sensor for detecting vibration of the respective rotating machines and generating signals indicative of the vibration, and a transmitting unit for transmitting the signals to the computer. The computer includes a sampler for sampling the signals with a sampling frequency and outputting, at a time at intervals of a predetermined period, a plurality of the data detected and sampled within the predetermined period, a storage for storing the data, a frequency analyzer for analyzing the frequencies of the data, a determination unit for determining whether the machines have an abnormality based on the results of the frequency analysis, and a display unit for displaying, in chronological order and in real time, the results of the frequency analysis and displaying the results of the determination.

System and method for detecting abnormality of rotating machines

A sample point extraction unit () extracts natural defect candidate portions by using sample points comprising height data for one line obtained by scanning once around the measurement surface of a tire surface. Natural defect candidate portions include natural defect portions and intentional irregularity portions, such as characters and patterns. A differentiation unit () stores, in advance, conditions characteristic of the shape of intentional irregularity portions formed on the measurement surface, and from among the natural defect candidate portions, excludes natural defect candidate portions that satisfy those conditions from the natural defect candidate portions. Due to this configuration, intentional irregularity portions are differentiated from natural defect portions.

Data processing method and data processing apparatus

A rotary machine abnormality detection device capable of determining abnormality with higher accuracy, a method thereof, and a rotary machine provided therewith. A rotary machine abnormality detection device detects abnormality in a rotary machine M having at least first and second rotating bodies using a specific feature amount based on a frequency spectrum of measurement data of vibration. The device obtains, from the frequency spectrum, a fundamental wave component Fof a fundamental wave lobe mesh frequency fand n-th harmonic wave components Fn of n-th harmonic wave lobe mesh frequencies fn up to XAB, and obtains the specific feature amount based on these components. The fis obtained by dividing a rotational frequency by a teeth number of the first rotating body and the XAB represents the least common multiple of the teeth numbers of the two rotating bodies.

Rotary machine abnormality detection device and method thereof and rotary machine

A candidate extraction unit () executes candidate extraction processing wherein a fixed number of consecutive height data items are extracted from one line of height data using a certain sample point as the starting point, the median for the extracted height data items and the difference therefrom for each extracted height data item are calculated, and sample points with a difference that is at least a height threshold are extracted as singular point candidates. An interpolation unit () determines, to be a singular point, a singular point candidate having a number of consecutive repetitions that is less than a width threshold, deletes the height data for the determined singular point, interpolates the deleted height data using height data for sample points which are adjacent to and other than such singular point, and generates shape data for evaluating runout and bulge/dent.

Data generation method and data generation apparatus

Provided is a device for detecting a malfunction of a rotating machine, the device being able to early detect the malfunction and to have a reduced size. The device includes a detecting unit for detecting vibration of the machine, sampling a signal indicative of the vibration with a predetermined sampling frequency, and outputting, at a time at intervals of a predetermined period, a plurality of the sampled data detected within the predetermined period, a storage for storing the plurality of the sampled data, a frequency analyzer for analyzing the frequency of the plurality of the sampled data, a determination unit for performing a primary determination based on the result of the analysis, a display unit for displaying the result of the analysis in chronological order and in real time, and a communication unit for transmitting the plurality of the sampled data to an information-processing device for performing a secondary determination.

Device and system for detecting malfunction of rotating machine

An abnormality detecting apparatus () for a rotating machine includes: a calculating part () which calculates a phase difference between signals respectively output from two sensors of one or more sets, the one or more sets being predetermined combinations of two sensors among the plurality of sensors, the plurality of sensors each of which detects an elastic wave generating in the rotating machine () having a rotor during rotation of the rotor, the sensors being arranged at predetermined different locations of the rotating machine (); a storing part () which stores in advance information concerning a relationship between a phase difference and a contact position when a contact occurs during the rotation of the rotor, regarding the one or more sets; and a specifying part () which specifies a contact position by using a phase difference calculated by the calculating part () and the information stored in the storing part ().

A rotating machine abnormality detection device and a rotating machine abnormality detection method according to the present invention are designed to detect an abnormality in a rotating machine including a rotary member rotatable about a predetermined axis, and detect an initial abnormality in the rotating machine based on first measurement data obtained by measuring a vibration in an ultrasonic wave band caused by the rotary member. A rotating machine according to the present invention includes the rotating machine abnormality detection device.

Rotating machine abnormality detection device and method and rotating machine

Provided is a resin pelletizer device capable of monitoring cavitation. A resin pelletizer device () includes a die () including a die surface () in which die holes () are formed, rotary blades () that rotate on the die surface () in the water, thereby cutting resin extruded from the die holes () in the water into a pellet form, a sensor () that detects an elastic wave generated during the rotation of the rotary blades () on the die surface (), and a determination unit () that monitors an output value of the sensor (), and determines that cavitation occurs when the output value of the sensor () becomes less than a predetermined threshold.

Resin pelletizer device and cavitation monitoring method

A rotating machine abnormality diagnosing apparatus for diagnosing an abnormality in a rotating machine includes: an analyzing part which performs a time-frequency analysis to a signal S representing intensity and time relationship of an elastic wave generating in the rotating machine; an extracting part which extracts second data representing intensity and time relationship of a predetermined frequency component from first data obtained by the time-frequency analysis; and a determining part which determines that a first rotor and a second rotor are in contact with each other when the second data contains intensity variation having a cycle represented by Tb=Ta, in which a rotational cycle of the first rotor is denoted by T, a rotational cycle of the second rotor is denoted by T, and a ratio of a number of protrusions to a number of recesses is denoted by a:b.

Rotating machine abnormality diagnosis device, rotating machine abnormality diagnosis method, and rotating machine

The state measuring device includes a measurement section attached to the blade portion or to a vicinity of the blade portion to measure a state of the blade portion, an AD converter attached to the cutting tool to acquire a measurement value measured by the measurement section at a predetermined sampling rate and perform AD conversion on the measurement value, a transmission section which transmits, on each acquisition of the measurement value from the AD converter, the acquired measurement value using digital wireless communication, and a monitor device provided outside the cutting tool. The monitor device includes a reception section which receives the measurement value transmitted by the transmission section, and a data management section which causes a display section to display the measurement value and causes a storage section to store the measurement value on each reception of the measurement value by the reception section.

Growing community of inventors

Kobe, Japan

Kaname Araki