A method for analyzing the condition of a machine, and an apparatus for analyzing the condition of a machine are described.

A device for identifying a type of a bearing is provided. The device includes a detection unit for detecting a vibration frequency of the bearing, and an identification unit for identifying the type of the bearing based on the detected vibration frequency.

A mounting system for retrofitting a vibration sensor to a machine component is provided. The mounting system includes an elongate fastener, a washer, and a mounting boss. The elongate fastener includes a fastener head and an elongated body defining a longitudinal top end and a longitudinal bottom end. The longitudinal bottom end defines a fastening end configured to engage with a corresponding fastening receptacle of the machine component. The washer defines an external surface and includes a central cavity for engaging the elongated body of the elongate fastener therein. The mounting boss includes a first portion and a second portion. The first portion includes an internal cavity defining a first cavity section configured to engage with the external surface of the washer, and a second cavity section to engage with the fastener head of the elongate fastener. The second portion defines a receiving port for receiving the vibration sensor.

A strand-guiding section arranged downstream of a continuous casting mould of a continuous casting line. The strand-guiding section has at least one strand-guiding roller supporting a metal strand cast with the continuous casting mould, is mounted in roller bearings in the strand-guiding section, and has at least one sensor device, which has at least one vibration sensor acoustically coupled to the strand-guiding roller or its roller bearings to detect the vibrations occurring with the rotation of the strand-guiding roller in the roller bearings. The strand-guiding roller is cooled internally by a cooling water. The vibration sensor is acoustically coupled to the strand-guiding roller and/or to the roller bearings via the cooling water. The evaluation device determines the status of the at least one roller bearing by evaluating the vibration data.

A method for processing vibration data includes receiving shaft displacement data, from a pair of sensors, including shaft center X-axis displacement and shaft center Y-axis displacement, which are orthogonal to each other. The method includes converting the shaft displacement data to shaft velocity data by calculating a difference in shaft displacement over time and/or converting into shaft acceleration data by calculating a different in shaft velocity over time. The shaft velocity or acceleration data is filtered, sorted and grouped into three or more groups, assigning a color to each velocity group or acceleration group. The method generates an image of a velocity or acceleration orbit plot, where the X-axis displacement and the Y-axis displacement define coordinate pairs of a trace of shaft center displacement, and the velocity or acceleration group between each coordinate pair defines a display color of the trace.

A signal processing method and apparatus quantifies signal “character” in the frequency domain from highly complex signals in a statistically consistent manner. Particular aspects focus on spectral density analyses such as skewness spectral density (SSD), kurtosis spectral density KSD), and probability spectral density (PDSD), among other types of spectral density. Applications of the inventive technique enable not only identification of signal characteristics, but also quantification of signal behavior in an explainable way. Higher orders of spectral densities are 1) physical and statistical, 2) convergent with boundable error, 3) integrable and relatable to the time-domain, and 4) typically differentiable.

To determine, with high accuracy, whether an anomaly has occurred in equipment to be monitored, an anomaly detection apparatus includes an acquisition unit and a determination unit. The determination unit acquires detection result information indicating a detection result of a vibration sensor attached to equipment including a movable unit. The determination unit determines, by using the detection result information, presence or absence of an anomaly of the equipment. The detection result information includes a magnitude of a vibration of each of a plurality of axes oriented in directions different from each other. The determination unit computes, with respect to each of the plurality of axes, a difference between a magnitude of a vibration at a target timing, and a magnitude of a vibration at a predetermined period of time before the target timing or a criterion value previously set. Then, the determination unit determines, when the difference exceeds a criterion in any of the axes, that an anomaly is occurring in the equipment at the target timing.

A system for continuously monitoring at least one machine including a plurality of magnetic sensors synchronously sensing magnetic fields emitted by at least one machine, the plurality of magnetic sensors sensing the magnetic fields along a corresponding plurality of channels and outputting magnetic field emission signals corresponding to the magnetic fields, a signal analyzer receiving at least a portion of the magnetic field emission signals and performing analysis of the magnetic field emission signals, the signal analyzer providing an output based on the analysis, the output including at least an indication of a condition of the at least one machine and a control module receiving the indication of the condition and initiating at least one of a repair event on the at least one machine, an adjustment to a maintenance schedule of the at least one machine and an adjustment to an operating parameter of the at least one machine based on the indication, whereby efficacy of the at least one machine is improved.

A vibration processing apparatus (10) includes: an acquisition unit (110) that reads, from a vibration information storage unit (112), information needed for detecting an abnormality in a belt conveyor (20), the information being, for example, first detection data indicating a result of detecting a vibration at a first point of the belt conveyor (20), and second detection data indicating a result of detecting a vibration at a second point on a downstream side of the first point of the belt conveyor (20); and a determination unit (120) that determines that an abnormality occurs in the belt conveyor with a necessary condition or a necessary and sufficient condition that a result of comparing the first detection data and the second detection data satisfies a first reference.

A method of analyzing a vibratory signal derived from rotation of at least one moving part belonging to a rotary mechanism forming all or part of a drive train for transmitting drive torque, the rotary mechanism being fitted to an aircraft and the method comprising at least one first measurement step including measuring vibration in at least one direction and generating a vibratory signal representative of the operation of the rotary mechanism as a function of time, the first measurement step being performed by means of at least one vibration sensor; and at least one second measurement step including measuring an angular position of the moving part, the moving part having at least one degree of freedom to move in rotation about a respective axis of rotation Z. Such an analysis method makes it possible to determine at least one usable range for the vibratory signal.