Systems, devices, and methods including: receiving, by an interpreter component having a processor with addressable memory, a first state of a tool of a computer numerical control (CNC) machine; determining, by the interpreter component, a reward and a value of the reward based on the received first state, where the reward is at least one of: positive and negative; transmitting, by the interpreter component, a set of information comprising the determined reward and the value of the reward to an agent component; performing, by the agent component, at least one action to generate a tool path and to proceed to a second state, where the second state is combined with the first state; and determining, by the agent component, the generated tool path based on the determined reward and value associated with the at least one action.

A method analyzing a machine having a rotating shaft includes generating an electric measurement signal dependent on mechanical vibrations from the shaft rotation; sampling the measurement signal to generate a digital measurement data signal; performing a decimation of the digital measurement data signal to achieve a digital signal having a reduced sampling frequency, where the decimation includes controlling the reduced sampling frequency such that the number of sample values per revolution of the shaft is kept at a substantially constant value, and receiving the digital signal at an enhancer input performing a correlation in the enhancer so as to produce an output signal sequence where repetitive signals amplitude components are amplified in relation to stochastic signal components, and performing a condition analysis for analyzing the condition of the machine dependent on the digital signal having a reduced sampling frequency.

Disclosed is a system for status diagnosis of construction machinery. The system for status diagnosis of the construction machinery to determine the abnormality of the construction machinery may include a sensor unit including at least one or more oil property sensors for detecting oil property information and at least one or more equipment sensors for detecting operating status information, a control unit configured to determine a basic status of the construction machinery through the oil property information and determine an overall status of the construction machinery by reflecting the operating status information of the construction machinery based on the basic status of the construction machinery, and a display unit configured to display a notification according to the determination of the control unit.

An abnormality detection device of a machine tool including a spindle and a feed axis and includes: a load monitoring unit that monitors a load of the spindle or the feed axis; a machining state determination unit that determines that the machine tool is in a machining state when the load of the spindle or the feed axis is equal to or larger than a threshold; a storage unit that stores shape data of the work and shape data of the tool in advance; an interfering area calculation unit that calculates an interfering area in which the tool interferes with the work based on the shape data of the work and the shape data of the tool; and an abnormality detection unit that detects an abnormality in the machine tool by comparing a position of the tool in relation to the work when it is determined that the machine tool is in the machining state with the calculated interfering area.

The present disclosure relates to monitoring a condition of an electric drive in an industrial network. A method comprises obtaining values of input parameters, state parameters, and one or more temperatures associated with one or more components, at a first time instant. The method further comprises estimating values of the state parameters at a second time instant with a first layer of a state space model of the electric drive and the values of input parameters at the first time instant. In addition, the method comprises estimating values of the one or more temperatures at a third time instant with a second layer of the model, the values estimated for the state variables and the values of the temperatures at the first time instant. A condition of the electric drive is determined from the values of the temperatures estimated for the third time instant and one or more predetermined thresholds.

A method (1000) for condition monitoring is disclosed, comprising registering (1010) values (v.sub.1) of movement characteristics measured for cycles of motion of a cyclically moving machine, associating (1050) the occurrence of values in a frequency distribution (F.sub.v1) of the values with respective defined indexes (a, b, c, . . . ) based on intervals, generating (1060) a word string (S) of the defined indexes corresponding to the occurrence of the values, segmenting (1070) said word string (S) into a sub-set of words (s.sub.1, s.sub.2, . . . , s.sub.i), determining (1080) a frequency of the occurrence of the segmented words in said word string as a first reference term frequency (TF.sub.1), associated with a first machine status (M.sup.1), for subsequently registered set of values of movement characteristics, determining (1100) a subsequent term frequency (TF.sub.n), comparing (1110) the subsequent term frequency (TF.sub.n) with the first reference term frequency to determine a correlation with the first machine status.

A method analyzing a machine having a rotating shaft includes generating an electric measurement signal dependent on mechanical vibrations from the shaft rotation; sampling the measurement signal to generate a digital measurement data signal; performing a decimation of the digital measurement data signal to achieve a digital signal having a reduced sampling frequency, where the decimation includes controlling the reduced sampling frequency such that the number of sample values per revolution of the shaft is kept at a substantially constant value, and receiving the digital signal at an enhancer input performing a correlation in the enhancer so as to produce an output signal sequence where repetitive signals amplitude components are amplified in relation to stochastic signal components, and performing a condition analysis for analyzing the condition of the machine dependent on the digital signal having a reduced sampling frequency.

Automatic system (1) for inspecting one cutting edge (2, 2′) of a ring shaped blade (3), wherein the ring shaped blade (3) is configured to be used in a plant for cutting one sheet of metallic material and extends around a central symmetry axis (y-y), the system (1) comprising: one supporting and moving group (4) rotatably mounted around one rotation axis (x-x) and configured to support the ring shaped blade (3) between at least one parking position and at least one reading position and for putting it in rotation around the rotation axis (x-x), wherein when the ring shaped blade (3) is supported in the at least one reading position, the rotation axis (x-x) is coincident with the central symmetry axis (y-y) of the ring shaped blade (3); one first emitting group (7), configured to emit at least one first inspection light beam (71) toward the supporting and moving group (4) and toward the cutting edge (2, 2′) of the ring shaped blade (3), when the blade is supported by the supporting and moving group (4); one second emitting group (8), configured to emit at least one second inspection light beam (81) toward the cutting edge (2, 2′) of the ring shaped blade (3); one first detecting group (9), configured to detect a first light beam reflected from the ring shaped blade (3), and one second detecting group (9′), configured to detect a second light beam reflected from the ring shaped blade (3), the first detecting group (9) and the second detecting group (9′) being both positioned at the supporting and moving group (4) and configured to detect the first light beam and second light beam reflected from the ring shaped blade (3), respectively, and output at least one respective detection signal (911, 912); one control and processing unit, configured to receive in input and process the at least one detection signal (911, 912), and output at least one quality index (I) of the cutting edge (2, 2′) of the ring shaped blade (3).

A workpiece machining device includes a positional deviation correction unit configured to correct a positional deviation of a radius end mill by detecting a positional deviation between a real contour line and an ideal contour line of the radius end mill. The positional deviation correction unit calculates a first correction value configured to make a center of a first arc section formed into an arc shape at a corner portion of the ideal contour line and a center of a second arc section formed into an arc shape at a corner portion of the real contour line to be identical to each other in a plane perpendicular to the rotational axis, and corrects a machining point by the radius end mill using the first correction value.

A method analyzing a machine having a rotating shaft includes generating an electric measurement signal dependent on mechanical vibrations from the shaft rotation; sampling the measurement signal to generate a digital measurement data signal; performing a decimation of the digital measurement data signal to achieve a digital signal having a reduced sampling frequency, where the decimation includes controlling the reduced sampling frequency such that the number of sample values per revolution of the shaft is kept at a substantially constant value, and receiving the digital signal at an enhancer input performing a correlation in the enhancer so as to produce an output signal sequence where repetitive signals amplitude components are amplified in relation to stochastic signal components, and performing a condition analysis for analyzing the condition of the machine dependent on the digital signal having a reduced sampling frequency.