118 results about "Tool vibration" patented technology

The invention discloses a furniture processing control system based on artificial intelligence, and relates to the technical field of intelligent manufacturing and industrial automation. According to the system, cutter vibration frequency spectrum, plate texture features and environment temperature and humidity data are collected in real time through a distributed sensor array, multi-source data are fused through a space-time attention mechanism, and a joint feature matrix is generated. And based on the joint feature matrix, utilizing a depth map neural network to deconstruct a topology constraint relation of non-standard customization requirements, and generating an initial processing parameter set. And driving the digital twin model to perform virtual processing according to the initial processing parameter set, and predicting a processing node deformation error and generating a compensation vector in combination with the three-dimensional laser point cloud and infrared thermal imaging data. The compensation vector and real-time working condition data are received, a path cost function is evaluated through Monte Carlo tree search and a time sequence convolutional network, the cutter feeding speed and the cutting depth are corrected, and dynamic regulation and control of cutter path parameters are achieved.

The invention relates to the technical field of precision automatic lathe machining, in particular to a precision automatic lathe workpiece machining method which comprises the steps that a double-spindle synchronous machining mode is adopted to achieve seamless connection of rough machining and finish machining, clamping errors are reduced, a servo motor drives a tool shaft to achieve nanoscale feeding compensation, and traditional mechanical transmission precision limitation is broken through. The integrated infrared temperature measurement module monitors the temperature of a cutting area in real time and dynamically adjusts the spraying angle and flow of cooling liquid based on machining parameters, machining thermal deformation is effectively controlled, and a dynamic weight self-adaptive interpolation model is established to balance machining efficiency and contour precision. Main shaft load, tool vibration and workpiece deformation data are collected in real time through a multi-sensor data fusion system, axial following errors are corrected through an iterative learning control algorithm, contour consistency is improved, surface defects are eliminated through a nanoscale vibration compensation mechanism, machining efficiency is improved, and machining precision is improved.

The invention discloses an aviation thin-wall composite component robot edge milling process parameter optimization method, which comprises the following steps: constructing a milling force prediction model, and predicting a milling force based on machining equipment parameters and machining process parameters; a robot edge milling machining system is constructed, the predicted milling force serves as input, the robot tail end cutter vibration response and the workpiece vibration response are obtained, and the surface roughness of the workpiece is detected; based on different machining equipment parameters and / or machining process parameters, a milling force-workpiece surface roughness database is obtained; optimizing by taking the minimum milling force and the optimal milling quality as targets, screening a milling force-workpiece surface roughness database, and outputting an optimal combination; the edge milling machining quality of the aviation thin-wall composite component robot is remarkably improved, and the problems of large milling vibration and poor machining quality caused by the fact that technological parameters of the aviation large weak-rigidity component robot are difficult to regulate and control are solved.

The invention discloses a tool fracture and fatigue intelligent detection method based on vibration signal analysis, and the method comprises the following steps: S1, installing a vibration sensor, and collecting the vibration signal of a tool in real time; s2, the collected tool vibration signals are preprocessed, and noise in the signals is removed; s3, performing time-frequency analysis on the preprocessed vibration signals, and extracting time-frequency features in the signals; s4, performing deep feature learning on the extracted time-frequency features to form deep features; s5, the depth features are classified and analyzed, and the health state of the cutter is output; s6, according to the health state optimization feature extraction and prediction result of the cutter, generating learning output; s7, evaluating the health state of the cutter in real time according to the learning output, and pushing alarm information; and S8, according to the alarm information, predicting the service life of the cutter and optimizing a cutter replacement and maintenance strategy. According to the method, short-time Fourier transform and Hough transform are combined, and the extreme learning machine is applied, so that intelligent detection on the fracture and fatigue of the cutter is realized.

The present invention provides a diagnosis and prediction method for a tool status in CNC machining, comprising: a vibration sensor for sensing tool vibration generated during CNC machining, and generating vibration data; a spindle vibration extraction unit that analyzes the vibration data so as to extract a spindle vibration value, which is the vibration magnitude of a frequency band corresponding to a spindle; a tool blade vibration extraction unit that analyzes the vibration data so as to extract a tool blade vibration value, which is the vibration magnitude of a frequency band corresponding to a tool blade; an other-frequency vibration extraction unit for extracting, from the vibration data, an other-frequency vibration value, which is the vibration magnitude of a frequency band that excludes the frequency bands corresponding to the spindle and the tool blade; a database for storing, as a vibration reference value, the tool blade vibration value generated when the tool blade is in a normal state; and a tool state determination unit that analyzes the spindle vibration value, the tool blade vibration value, the other-frequency vibration value, and the vibration reference value so as to determine the state of the tool blade.

The invention relates to the field of hedge trimming control, in particular to an intelligent centering method and system for a hedge trimmer. The method comprises the following steps: firstly, obtaining a tool vibration coefficient at the current moment according to the inclination angle, the operation power, the acceleration data and the point cloud position change on a trimming path of a tool in a short period, and obtaining the vibration coefficient of the tool according to the depth value difference between pixel points of a tool area edge line on one side of a trimmed hedge area and pixel points of the trimmed hedge area; obtaining a tool centering coefficient at the current moment according to a tool vibration coefficient and a tool vibration coefficient and depth value change correlation of pixel points between each reference line and a tool area center line, obtaining a trimming posture deviation degree based on the tool vibration coefficient and the tool centering coefficient, and obtaining a trimming posture deviation degree according to the length of a stem edge line in an untrimmed hedge area and hue values and saturation values of the pixel points. And performing real-time centering control on the hedge trimmer in combination with the trimming posture deviation degree and the hedge deviation degree. The centering effect of the hedge trimmer can be improved.

The invention provides a numerical control machine tool cutter state monitoring method based on multi-window feature registration, and relates to the technical field of machining and intelligent manufacturing, and the method comprises the steps: firstly obtaining a cutter vibration signal, calibrating a time window according to a fixed time, defining candidate sensitive features, screening the sensitive features through a Pearson's correlation coefficient, and determining verification features; then, sensitive features are extracted according to the vibration signal of each window, feature weights are set, three process scenes of thin-wall, high-hardness and stable cutting machining are combined, and comprehensive feature values are generated through weighting after normalization processing; constructing a sliding sequence when the number of the comprehensive characteristic values reaches the number of continuous calculation windows, finally judging the initial, middle and later cutter wear stages according to the first and second state thresholds and the abnormal tolerance number, and dynamically adjusting the characteristic weight in combination with the cutter state output in the previous round and the current process scene so as to obtain the cutter wear state. And the accuracy and robustness of monitoring results in different wear stages and different processing scenes are improved.

The invention provides a cutter adaptive control method based on artificial intelligence and an intelligent agent control system, and relates to the technical field of intelligent control processing. The method comprises the following steps: calculating a cutter vibration energy growth rate; calculating the edge weight of each connecting edge directly connected with the cutter; calculating a vibration influence degree and a vibration flow direction factor of each connecting edge in combination with the edge weight; according to the vibration influence degree, the vibration flow direction factor and the tool vibration energy growth rate, the tool abrasion condition is judged; and adjusting according to the wear condition of the cutter. By implementing the scheme, the limitation of traditional single-point monitoring is broken through, the working condition characteristics of the cutter can be accurately captured, and targeted maintenance is facilitated.

The embodiment of the invention provides a profile cutting machine tool vibration suppression method, a control device and a cutting machine. The method comprises the steps that S1, tool vibration historical data are collected, and a vibration data set is made; s2, constructing a mixed vibration prediction model, wherein the mixed vibration prediction model comprises an LSTM model and a tool-workpiece contact physical equation; s3, training the LSTM model by using the vibration data set to obtain a vibration prediction model, and connecting the vibration prediction model with the tool-workpiece contact physical equation in parallel; s4, collecting vibration data of the cutter in real time, and inputting the vibration data into the mixed vibration prediction model to obtain a prediction value; and S5, a vibration compensation signal is generated based on the predicted value, and the vibration compensation signal is used for carrying out vibration suppression on the tool. The method is based on the hybrid prediction model, vibration characteristics can be accurately captured, a vibration compensation signal is generated, and effective vibration suppression can be carried out on the cutter of the profile cutting machine.

The invention discloses a batch online detection method and a batch online detection system for mould base processing, and relates to the technical field of mould base processing detection, and the batch online detection method comprises the following steps: step 1, obtaining data such as the size of a processing part, cutting force, cutter temperature, cooling liquid flow and cutter vibration frequency, and material hardness parameters of a to-be-processed workpiece and used time of a cutter; and 2, calculating the cutter wear degree based on the cutting force and the cutter use time. The method comprises the steps of (1) carrying out data processing, (2) carrying out feature extraction and normalization processing on various types of data, (4) inputting the data and material hardness parameters into a classification model and predicting a processing state, and (5) dynamically adjusting a multi-station processing sequence through a contract network protocol according to a prediction result, a cooling liquid flow and a tool vibration frequency. And 6, the station adjustment information compensates and corrects the machining parameters in real time, and size deviation data are obtained. And step 7, outputting the final machining state of the machining part based on the dimensional deviation data and the machining state prediction result, and realizing efficient detection of mold frame machining.

A utility vehicle for moving a material comprising a frame including a first motion detection apparatus, a work tool movably coupled with an arm, where the arm is movably coupled with the frame, a second motion detection apparatus coupled with the work tool, a vibration apparatus coupled with the work tool, and a controller in communication with the motion detection apparatus and the vibration apparatus, wherein the controller includes a processor and a memory having a work tool vibration algorithm stored thereon, wherein the processor is operatable to execute the work tool vibration algorithm to receive motion data from the motion detection apparatus, analyze the motion data to determine if the motion data represents a movement of the motion detection apparatus that drops below a threshold movement level, actuate the vibration apparatus to vibrate the work tool.

The invention discloses a dimple speed regulation device and method based on a two-stage speed regulation valve. The dimple speed regulation device comprises an integrated set sensing switch, a wireless pilot controller, the two-stage speed regulation valve and an assembly of the two-stage speed regulation valve. According to actual working conditions on site, dimple speed adjustment of a semi-automatic drilling and dimple integrated tool or a manual dimple tool is achieved, and meanwhile dimple surface quality and hole making efficiency are guaranteed. During dimpling operation, the integrated set sensing switch of the device needs to be installed on a semi-automatic drilling and dimpling integrated tool or a manual dimpling tool, a high-speed mode is started during drilling, the device is switched to a low-speed mode according to the vibration condition of the tool during dimpling, and the dimpling rotating speed of the tool is limited; when a manual dimple tool is used for machining a composite material, the device starts the tool in a low-speed mode when a dimple drill does not make contact with a machining material, the device is switched to a high-speed mode according to the vibration condition of the tool after making contact with the material, the device is switched to the low-speed mode when a tool retracts to be separated from the material, and low-speed advancing and retreating and high-speed dimple are achieved.

The invention relates to a cutting rock-breaking mechanism and a cutting method, and the cutting rock-breaking mechanism comprises a cutter assembly which comprises a sun gear rotating around a first axis; the planet gears are arranged at intervals in the circumferential direction, and eccentric structures are arranged on the planet gears; the planet wheel mandrel is sleeved with the planet wheel and rotationally connected with the planet wheel so as to bear inertia moment and / or radial inertia force which alternately rotates around the first axis; the planet carrier is coaxial with the first axis and is fixedly connected with the planet wheel mandrel; the cutterhead frame is connected with the planet carrier; when the planet carrier alternately rotates around the first axis, the cutter head frame reciprocates along the first axis and / or alternately rotates around the first axis; when the planet carrier swings in the radial direction, the cutterhead frame swings in the radial direction in a rotating mode. And the cutter is fixedly connected with the cutter head frame and has an eccentric distance. Rock is cut and broken under the multiple actions of extrusion feeding force of the cutter, vibration impact of the cutter and radial eccentric impact rock breaking, so that the rock breaking capacity (productivity) and the rock breaking efficiency are improved, the specific energy consumption of rock breaking is reduced, and the cutter is suitable for breaking hard rock.

The utility model provides an auxiliary positioning mechanism for cutting a glass fiber plate, belongs to the technical field of glass fiber plate processing equipment, and aims to solve the problem that the cutting quality of the glass fiber plate is affected due to high-frequency vibration easily caused by vibration of a cutter and impact of cutting force during cutting in the prior art. Comprising a positioning supporting table, a first positioning module, a second positioning module, a cutting clamping table, a clamping driving cylinder, a cutting clamping mechanism and a dynamic clamping mechanism. The first positioning module is fixedly connected to the upper end of the positioning supporting table. The second positioning module is fixedly connected above the sliding table of the first positioning module; the cutting clamping table is fixedly connected to the upper end of the sliding table of the second positioning module; the clamping driving cylinder is arranged at the front end of the upper portion of the cutting clamping table. The cutting and clamping mechanism is arranged above the cutting and clamping table; the dynamic clamping mechanism is arranged at the front end of the upper portion of the cutting clamping table, local rigid support is provided nearby a cutting point all the time, vibration is restrained, and the cutting precision is improved.

The invention belongs to the technical field of milling, and discloses a milling workpiece surface topography prediction method considering multi-factor influence, which comprises the following steps: considering a tool rake angle geometric parameter, establishing a milling force model, and calculating a shear force coefficient and a tillage force coefficient; a tool vibration displacement model is established, a generalized RKN4 method is adopted, a second-order motion differential equation of the tool vibration displacement model is directly solved, and the vibration displacement solving speed is increased; establishing a workpiece deformation model, and applying a node division method to workpiece deformation calculation; and establishing a surface topography prediction model, and generating a workpiece surface topography matrix by adopting a Z-map method. According to the milling workpiece surface topography prediction method considering the multi-factor influence, the geometric parameters of the front angle are considered, and accurate prediction of the milling force is achieved; a generalized RKN4 method is adopted, so that the vibration displacement solving efficiency is improved; influences of tool vibration displacement and workpiece deformation on the surface topography are comprehensively considered, and accurate prediction of the surface topography is achieved.

The invention discloses a multi-loss joint optimization tool wear monitoring method and system and a storage medium, and belongs to the technical field of machining state monitoring, tool vibration signals are collected and preprocessed to obtain a training set and a test set, and the tool wear level of each sample is marked as a label; constructing a tetrad training set based on the training set, and training a CNN network by using the tetrad training set to obtain a feature extraction model; constructing a tool wear monitoring model based on the feature extraction model and the softmax classification layer, and training the tool wear monitoring model by adopting the training set; and predicting the wear state category of the tool based on the trained tool wear monitoring model. According to the method, a joint optimization mechanism of a tetrad loss function and a classification loss function is introduced, the minimization and maximization targets of the inter-class distance in a local embedding space are considered, the supervision constraint of global class discrimination information is reserved, the learning ability and the monitoring accuracy of the model are remarkably improved, and the method is suitable for large-scale popularization and application. The intra-class consistency and the inter-class difference of feature expression are effectively enhanced, the robustness is high, and the discrimination capability is strong.

The invention relates to the technical field of automatic control of paperboard processing equipment, and discloses an automatic control method and system of a paperboard digital grooving machine. The method comprises the following steps: synchronously acquiring a tool vibration signal and cutting force data, and performing processing and frequency domain analysis to obtain a tool wear feature vector; if the abrasion condition is met, the depth compensation amount is extracted, a servo motor position instruction is generated in combination with a proportional-integral-derivative control algorithm, and a Z-axis executing mechanism is driven to dynamically correct the cutting depth; and dynamically calibrating the compensation gain and iteratively correcting through the depth residual feedback optimization parameter until the residual is converged to the preset precision. According to the method, real-time sensing of the wear state of the cutter and accurate depth compensation are achieved, the problem that the grooving depth is unstable in traditional control is solved, the machining precision, the product consistency and the production efficiency are improved, and technical support is provided for high-precision automatic paperboard grooving production.

A turning thread machining clamp for a diaphragm pump comprises a numerical control lathe and a chuck structure. The chuck structure comprises a clamping jaw, a mounting ring, a pressing assembly and a lifting assembly. The clamping jaw comprises a base, a first jaw part and a second jaw part. The downward pressing assembly is arranged on the first claw part and comprises a downward pressing rod and a downward pressing block. One end of the lower pressing rod is arranged at the end of the first claw part, and the other end of the lower pressing rod extends towards the second claw part. The lifting assembly comprises a lifting rod and a lifting block. Compared with the prior art, through the arrangement of the chuck structure, automatic product clamping is achieved, and the requirement of streamlined production is met. And the chuck structure is specially customized according to the specification of a product, is more adaptive to the product than a common chuck in the market, has higher rigidity and avoids cutter vibration. The chuck structure can be arranged in different sizes and replaced, is high in universality, can be compatible with products of different specifications, and is easy to maintain.

The invention discloses a large-scale machine tool cutter wear monitoring and interaction device, and relates to the technical field of machine manufacturing and control, the large-scale machine tool cutter wear monitoring and interaction device comprises a cantilever support assembly and a protection main case, and the cantilever support assembly is connected with the protection main case through a fast-assembly interface; an edge end data acquisition terminal and a man-machine interaction module are integrated in the protection main case; the edge end data acquisition terminal comprises a data acquisition module which is used for acquiring a cutter vibration signal, cutter head nearby temperature information and a main shaft current signal; the host module can calculate the state, abrasion and service life of the cutter; the numerical control system communication module obtains machining parameters in real time and issues emergency control instructions. And the man-machine interaction module performs information interaction with the edge end data acquisition terminal. Through multi-source signal fusion analysis and an intelligent early warning algorithm, real-time sensing of the state of the cutter and life prediction are achieved, the change trend of cutting of the cutter can be visually sensed, and therefore recognition and early warning prompt of cutter replacement are made.

The invention provides a rapid alignment tool for a composite-angle pipeline piece and a machining method. Comprising a bottom plate, a profiling pressing block, a flat plate pressing block and screws. The bottom plate is fixed to a machine tool platform and can be accurately positioned through the positioning groove, the profiling groove supports the composite angle pipeline piece from the bottom, and it is guaranteed that the composite angle pipeline piece cannot deviate during machining. The profiling pressing block and the flat plate pressing block are matched with the screws to press the composite-angle pipeline piece, and the problems of cutter vibration, unstable machining, poor surface smoothness and the like in the milling process of the composite-angle pipeline piece are solved. According to the rapid aligning and machining method for the composite-angle pipeline piece, deformation generated by additive printing forming and the like can be made up, and the clamping efficiency during machining and the surface smoothness of a product are improved.

The utility model provides a kind of swing head with gravity balance structure belongs to numerical control machine tool technical field, including swing head seat and saddle, it is characterized in that, the lateral wall of swing head seat is fixedly connected with eccentric pin shaft, one side of the saddle is equipped with cylinder body and fixed pin shaft, the inside of the saddle is equipped with flange plate;The utility model has beneficial effect: by accurate balance gravity center deviation, so that cylinder body adjusts push rod telescopic by air inlet / outlet, it is assisted bearing and eccentric pin shaft's cooperation to swing head seat and applies reverse balance moment, real-time offset gravity center deviation when swing head rotates and generates eccentric load, substantially reduce the torque fluctuation of driving system, reduce tool vibration, avoid roughness change of processing surface, guarantee processing accuracy;Secondly, without through amplification drive part to cope with gravity center deviation, prolong its service life, and make swing head angle adjustment response more rapid, run more smoothly, shorten processing time.

A reinforced non-standard groove cutter relates to the field of machining equipment and comprises a cutter bar and a blade, the bottom of the cutter bar is provided with a vertically arranged assembly surface, the blade comprises a mounting plate and a cutting edge, the mounting plate is provided with a pressing plate, and the pressing plate extends from one side of the mounting plate to the direction facing the cutting surface and exceeds the cutting surface; and the extension plate is provided with a second through mounting hole and is matched with the assembly surface through a second locking screw penetrating through the second mounting hole. The pressing plate forms a new fixing point in front of the cutting face, so that torque generated in the cutting machining process is counteracted, blade rigidity is improved, tool vibration in the cutting process is reduced, the service life of a tool is prolonged, and tool cost is reduced.

The utility model provides a steel sectional cutting device, relates to the steel cutting technology, and particularly discloses a cutting machine frame, a holder is installed on the side wall of the cutting machine frame, an installation shaft is arranged on the side wall of the holder in a rotating mode, a cutting tool is installed on the outer side wall of the installation shaft, a driving motor is installed on the other side of the holder, and the driving motor is installed on the other side of the holder. The driving motor is in transmission connection with the mounting shaft; a first position adjusting mechanism used for driving the holder to move in the extending direction of the cutting machine frame is arranged on the side wall of the cutting machine frame, a supporting structure used for supporting the free end of the mounting shaft is installed on the cutting machine frame, and a shockproof structure used for preventing the cutter from vibrating is installed on the supporting structure. Through cooperation of the first position adjusting mechanism and the driving mechanism, the cutting tool can continuously move in the extending direction of the steel, the cutting range is expanded, the requirements for one-time forming and secondary correction are reduced, and the cutting efficiency is remarkably improved.

The invention provides a drilling tool vibration measuring device which comprises a drilling tool body and a stable platform concentrically arranged in the drilling tool body through a support, a first sensor is arranged in the drilling tool body, a second sensor is arranged on the stable platform, and the first sensor is connected with the second sensor. And the stable platform is freely and rotatably connected with the drilling tool body.

A work vehicle comprising a main frame, a first sensor coupled to the work tool, a work tool movably coupled to the main frame, a second sensor coupled to the main frame, and a controller. The controller communicates with the first and second sensors and includes a processor and memory containing a work tool vibration measurement sequence algorithm. The processor is capable of executing the work tool vibration measurement sequence algorithm to determine whether the range of motion of the first sensor exceeds a threshold for excessive wear.

This invention provides a power tool. The vibratory tool has an inner housing (3), a spindle (5), a clamping shaft (61), a clamping spring (65), a clamping member (71), a collar (75), an operating handle (77), and a pressure sleeve (671). The collar (75) holds the clamping member (71) so that it can move relative to it in a vertical direction between a locked position and an unlocked position. The locked position is when the clamping member is engaged with the clamping shaft (61) in a state where it cannot move radially, and the unlocked position is when the clamping member can move radially. The operating handle (77) moves the clamping member (71) downward relative to the collar (75) and the spindle (5) in response to a predetermined release operation. The clamping member (71) moves from the locked position to the unlocked position relative to the collar (75) in response to the release operation. During the downward movement, the clamping member (71) presses down on the tip tool (91) via the pressure sleeve (671). Accordingly, the tip tool can be easily removed.

The tool rest comprises a tool rest body, a turning tool and a chip guiding mechanism, the turning tool is adjustably installed at the bottom of the tool rest body, the chip guiding mechanism is installed on the front side of the tool rest body, the chip guiding mechanism comprises a support and a chip guiding plate, the support is detachably connected to the tool rest body, and the chip guiding plate is detachably connected to the tool rest body. The turning tool rest has the advantages that the whole tool rest can go deep into the groove in the turning process, so that the turning tool can reach a deeper turning position, and the rigidity and the stability of the whole tool rest are kept; when turning work is carried out, the scrap guide mechanism of the spiral structure effectively cleans out scrap iron, and overheating and tool vibration caused by friction between the turning tool and the scrap iron are avoided.

The invention provides a curved surface cutter path planning method, which comprises the following steps of: 1, automatically partitioning a curved surface to be processed, and identifying different processing regions; wherein the different processing areas comprise a simple processing area and a complex curved surface processing area; 2, determining a tool path for the simple machining area by adopting a traditional cutting tool path planning method, and planning a tool path for the complex curved surface machining area by adopting a dynamic path planning algorithm based on cutting force balance; optimizing the tool path by monitoring the tool load in real time; and 3, based on the optimized tool path, setting an intelligent algorithm to control the cutting direction and the cutting depth of the tool, and ensuring that the cutting load is kept within the optimal range every time. The curved surface to be machined is divided into the simple machining area and the complex curved surface machining area, the machining strategy is adjusted according to the geometrical shape of the workpiece and the cutter state, the cutter path is optimized, therefore, cutter vibration and deviation are reduced, and higher machining precision and surface quality are ensured.

The present invention relates to a method for collecting and processing tool vibration signals based on edge computing and an implementation system thereof, including the following steps: S1, a sensor collects tool vibration signal data; S2, an edge computing device reads the tool vibration signal data; S3, the edge computing device stores the tool vibration data; S4, the edge computing device performs filtering and preprocessing on the tool vibration data, and then sends the processed data to the cloud for storage; at the same time, the edge computing device sends the un-preprocessed tool vibration data to the cloud for real-time display. It realizes the reading, storage and preprocessing of three-dimensional tool vibration signals, can timely detect the wear condition of the tool, and at the same time can reduce the time delay, improve the utilization rate of the collected data, production quality and production efficiency.

The invention relates to the technical field of Internet of Things control, in particular to a control method of a CNC machining center online control system based on the Internet of Things. The method comprises the following steps that a pressure sensor, a bubble detector and a first conductivity sensor are installed at a cutting fluid inlet of each CNC machining center, and a second conductivity sensor is installed at a fluid outlet of each CNC machining center; a micro-amplitude modulation signal with the unique identification frequency is superposed on the rotating speed of the main shaft, so that a tool vibrates to generate a pressure pulsation signal in a cutting fluid pipeline through a machine tool structure; after the pressure sensor detects a pressure pulsation signal, vibration source equipment is determined through spectral analysis; the sound velocity is corrected according to the bubble volume fraction measured by the bubble detector, and the propagation delay of the pressure wave is calculated. Through combination of a bubble acoustic barrier and piezoelectric active compensation, the continuous production capacity of healthy equipment is maintained while fault isolation is guaranteed.