Disclosed is a radial fault simulation test system for rotary mechanical equipment. The system comprises a simulation test bed, a data collection system and a control system, wherein the data collection system is used for collecting the operation state data of a rotating shaft; and the control system is used for receiving the data collected by the data collection system, analyzing and processing the data, and controlling the simulation test bed according to an analysis result. The system adopts a modular design, can simulate the operation state and the fault type of the rotary mechanical system under different rotation conditions and structural forms, can realize a simulation test of the rotary mechanical system under different fault states, and can preferably ensure the accuracy of the test performance of the simulation test.

There is provided an abnormality diagnosis device, a bearing, a rotation device, an industrial machine, and a vehicle, which are able to discover abnormality early and also set a diagnosis threshold relatively easily. A differential value between an initial frequency component and an actual measurement frequency component is calculated, the differential value is compared to the diagnosis threshold, and abnormality diagnosis for an abnormality diagnosis target is carried out based on the comparison result, where the initial frequency component is a feature frequency component of abnormality of the abnormality diagnosis target in the rotation device, which is extracted from an initial vibration value measured at initial measurement timing while the axle is rotating at setting rotation speed during an operation of the rotation device, and the actual measurement frequency component is a feature frequency component extracted from an actual measurement vibration value measured at actual measurement timing that is the initial measurement timing or later while the axle is rotating at the setting rotation speed during the operation of the rotation device.

A state observation device (30) uses an ADC (37) to digitize a detection signal from a gap sensor (21) at a low-speed sampling period and uses a separation unit (38) to separate the digitized detection signal into vane detection signals considered to be for the detection of a vane of a compressor impeller and non-vane detection signals considered not to be for the detection of a vane. Further, the determination unit (39) extracts a vane peak detection signal considered to be for a vane peak by comparing a vane detection signal with vane detection signals corresponding to other vanes and non-vane detection signals, and a shaft vibration and tip clearance are determined as states of the compressor impeller on the basis of the extracted vane peak detection signal. Thus, the state observation device (30) is capable of observing the state of a rotary machine without carrying out high-speed sampling.

A measuring sensor includes a housing in which an acceleration sensor is arranged and in which a circuit board is retained with a sensor electronics arranged thereon and a mounting element functions to secure the measuring sensor to a test object, wherein the acceleration sensor is mechanically rigidly coupled to the mounting element and connected to the sensor electronics via a flexible line connection, where in order to optimize the coupling of the acceleration sensor to the test object to be monitored, in terms of detecting oscillations, vibrations or structure-borne noise, the acceleration sensor is directly connected to the mounting element without mechanical contact with the housing, and the housing is retained elastically on the mounting element and supported by the mounting element.

An information acquisition apparatus for acquiring information relating to a crawler configured to be wound around a rotationally driven sprocket connected to a rotation axle provided in a vehicle, the crawler having a meshing part configured to mesh with a tooth or a tooth base of the sprocket and being circulatorily driven in conjunction with rotation of the sprocket is provided. The information acquisition apparatus includes a memory and a processor. The memory stores, as initial information, the number of meshing parts of the crawler and information specifying the meshing part that is at a predetermined position, prior to the vehicle traveling. The processor acquires rotation information of the sprocket. The processor, while the vehicle is traveling, information specifying the meshing part that is at the predetermined position, based on the initial information and the rotation information.

Provided is a signal processing device capable of effectively reducing a work load of a parameter setting operator in response to an increase in parameters constituting complicated filter control. Therefore, in the signal processing device filters an output signal from a sensor mounted on a vehicle, setting is made with respect to a plurality of filters having different filter types or filter coefficients for setting a filter characteristic of a cutoff frequency or a pass band, an individual code is set for each of the plurality of filters, and the signal processing device includes a CPU that selects the individual code based on an engine operating state so that a corresponding filter is selected, and processes an output signal from the sensor using the filter that has been selected.

A sensing module for configuring on a vibrating machine or structure, such as a pump or pump assembly is provided. The sensing module includes an outer shell configured with a recessed portion, and encapsulated electronics having a multicolored light array arranged inside the outer shell. The multicolored light array responds to signaling containing information about a condition being sensed or monitored by the sensing module and provides along a projection axis at least one beam of light containing information about the condition. The signaling is received from one or more of the other encapsulated electronics, including an accelerometer or temperature sensing device. The sensing module includes a domed lens configured in the recessed portion of the outer shell, and configured to project the at least one beam of light along the projection axis with a visibility of 360° for viewing from afar, by an observer visually monitoring the sensing module.

An apparatus for monitoring of a device including a moveable part, especially a rotating device, wherein the apparatus includes a control module which receives a measured vibration signal of the device provided by a sensor connected to the device, provides a spectrum of the measured vibration signal, pre-processes the spectrum to determine base frequencies and side frequencies, where the base frequencies are frequencies having peak powers corresponding to eigen frequencies of the device or faulty frequencies and the side frequencies correspond to other frequencies, where the control module additionally processes the base and side frequencies by applying separately a one-class classification on the base and side frequencies, combines the results of the one-class classifications to obtain a classification signal representing a confidence level, and outputs a decision support signal based on the classification signal, where the decision support signal indicates an error status of the monitored device.

A rotating system comprising two or more blades 3 mounted on a hub installed on a rotatable propeller shaft 1, each blade provided with a respective sensor 4 arranged to detect response of the respective blade to harmonic excitation; and the system further comprising means configured to compare the response of the respective blade to that of the other blade(s).

A bearing defect auto-detection system includes a processor to receive condition monitoring data that includes vibration harmonics corresponding to a bearing coupled to a rotatable shaft. The processor performs a pattern sweeping process that sweeps a pattern through both a speed range and a bearing class defect frequency range. In response to the test pattern having at test pattern sideband, the processor also sweeps the test pattern sideband through a sideband range, against the condition monitoring data to determine the pattern's fundamental frequency and sideband frequency. The processor determines a most probably bearing defect type associated with the bearing based on the best match value amongst results associated with the test pattern. The processor also performs a post-sweep logic process that compares a number (N) of most recent results from the pattern sweeping process to at least one conditional test to confirm the most probably bearing defect type is present.