Disclosed are a roll-to-roll machining control decision generation method and apparatus for a flexible material. The method comprises: acquiring first vibration data of a first unwinding module, second vibration data of a second unwinding module, third vibration data of a pressing module, fourth vibration data of a winding module, and rotating speed data and winding tension data of the winding module; calculating to obtain a plurality of health state level combinations according to preset health state levels, the first vibration data, the second vibration data, the third vibration data and the fourth vibration data; generating a winding module rotating speed interval and a winding tension value interval of each health state level combination based on the rotating speed data and the winding tension data; and generating an adjustment decision by using the plurality of health state level combinations, the winding module rotating speed interval and the winding tension value interval.

An online monitoring device of 3D printing equipment includes a signal collection module, a signal processing module, a feature extraction module, a monitoring module and a knowledge base module. A vibration signal of a preset component of the 3D printing equipment is collected by a vibration sensor. The collected vibration signal of each preset component is converted from an analog signal to a digital signal and the spectrum characteristics are extracted. Based on the spectrum characteristics of each preset component, the operation state type of the preset component is obtained by a comparative analysis model. The knowledge base module is configured to store newly added samples and initial samples of the 3D printing equipment. The initial samples include spectrum characteristic information and corresponding fault category of known faults, and the newly added samples include spectrum characteristic information and corresponding fault category of new faults.

A remaining life of a robot body is precisely estimated. A robot control apparatus 300 includes: a drive control unit 305 that controls drive of a robot body 200; a detection unit 306 that detects a feature amount quantitatively indicating a deterioration degree of the robot body 200 that is deteriorated over time as the robot body 200 is driven; a determination unit 303 that determinates presence/absence of a sign of malfunction of the robot body 200 based on the feature amount; and an estimation unit 304 that estimates a remaining life of the robot body 200 when presence of a sign of malfunction of the robot body 200 is determined.

A method for determining an abnormal processing of a processing machine is disclosed, and includes: obtaining an acceleration signal corresponding to an acceleration of a tool tip from an accelerometer arranged on a tool-end of the processing machine; performing an integral process to the acceleration signal to generate a movement information; obtaining a motor position information of a motor used to bring the tool-end to move; respectively performing a coordinate alignment process to the movement information and the motor-position information to generate a transformed movement information and a position vector respectively being described based on a workpiece-end coordinates system used by a workpiece-end of the processing machine; combining the transformed movement information and the position vector to generate a relative movement value between the tool tip and the workpiece-end; and, determining whether an abnormal processing occurs based on the relative movement value.

An abnormality determination system includes first data acquisition circuitry configured to acquire time-series data relating to an operation of a device, sample data creation circuitry configured to create sample data based on abnormality time-series data which the first data acquisition circuitry acquires while an abnormality occurs in the operation of the device, and first abnormality determination circuitry configured to determine the abnormality in the operation of the device based on the time-series data and the sample data.

A vibration measurement method for a moving part is a vibration measurement method in which vibration of a moving part is measured using a first inertial sensor. The method includes: performing measurement by the first inertial sensor in a state where the moving part is resonating, driven by a drive unit which drives the moving part; and finding a magnitude of vibration of the moving part, based on an output from the first inertial sensor. An example of the moving part may be a plurality of arms or the like provided in such a way as to be able to rotate about a rotation axis.

A machine forms threads on a workpiece by relatively feeding the workpiece and a cutting tool in a feeding direction while relatively rotating the workpiece and the cutting tool, and by performing a helical cutting work multiple times while carrying out relative reciprocal vibration of the workpiece and the cutting tool in a radial direction of the workpiece. The machine tool or a control device of the machine tool includes a vibration setting unit to set a pattern of vibration during each cutting work accompanied by the reciprocal vibration so that a cut portion of one cutting work partially includes a portion that has been cut in another cutting work. The machine tool and the control device prevent a long, continuous chip from becoming entangled with a workpiece or a cutting tool in the process of forming threads on the workpiece.

An electronic device includes an acceleration detector configured to detect an acceleration of a housing, a vibration generating part having a plurality of vibrators configured to generate vibrations, and a vibration controller configured to generate a virtual vibration source felt by a user who touches the housing by controlling vibrations of each of the plurality of vibrators, wherein the vibration controller generates the virtual vibration source on the basis of the acceleration detected by the acceleration detector.

Vibration instruction data for vibrating a vibration apparatus is received from another apparatus, data related to the received vibration instruction data is stored in a memory, and the vibration apparatus is vibrated using the data stored in the memory. Then, as an example, a state of the data related to the vibration instruction data stored in the memory is detected, and when the state of the data satisfies a predetermined condition, predetermined data related to the vibration instruction data is additionally stored in the memory. As another example, when the vibration instruction data cannot be received from the other apparatus, predetermined data related to the vibration instruction data is additionally stored in the memory.

A vibration data acquisition and analysis module is operable to be inserted directly into a distributed control system (DCS) I/O backplane, so that processed vibration parameters may be scanned directly by the DCS I/O controller. Because the process data and the vibration data are both being scanned by the same DCS I/O controller, there is no need to integrate numerical data, binary relay outputs, and analog overall vibration level outputs from a separate vibration monitoring system into the DCS. The system provides for: (1) directly acquiring vibration data by the DCS for machinery protection and predictive machinery health analysis; (2) direct integration of vibration information on DCS alarm screens; (3) acquisition and display of real time vibration data on operator screens; (4) using vibration data to detect abnormal situations associated with equipment failures; and (5) using vibration data directly in closed-loop control applications.