Kobe Steel, Ltd.

Masato Hayashi

Shugo Takaki

Eiji Takahashi

Kaname Araki

Yasushi Amano

Hirofumi Saito

Provided is a screw compressor including a screw rotor configured to compress a gas due to rotation of the screw rotor about an axis of the screw rotor and a casing housing the screw rotor rotatably and provided with a suction port for a gas, the casing being provided with a suction side space through which a gas flowing into the casing from the suction port and not yet sucked by the screw rotor flows. The casing is provided with a heating fluid passage for introducing a heating fluid into the suction side space so as to heat oil staying in the suction side space.

Screw compressor

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

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 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

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.

Growing community of inventors

Takasago, Japan

Masato Hayashi