WO2015111512A1 - X-ray tube defect sign detection device, x-ray tube defect sign detection method, and x-ray device - Google Patents

Abstract

A data processing unit (11) provided with a frequency analyzer (21) for performing vibration frequency analysis, a noise level calculator (23) for calculating the level of noise produced outside an X-ray tube, and a defect sign detector (25) for detecting a sign of an X-ray tube defect. The defect sign detector (25), upon being triggered by the noise level calculated by the noise level calculator (23) falling to or below a predetermined threshold value, performs a frequency analysis on the vibration produced inside the X-ray tube through the frequency analyzer (21), and detects a sign of a detect on the basis of the analysis result.

Description

X-ray tube failure sign detection apparatus, X-ray tube failure sign detection method, and X-ray apparatus

The present invention relates to an X-ray tube failure sign detection device and an X-ray tube failure sign detection method for detecting an X-ray tube failure sign, and an X-ray apparatus using the X-ray tube failure sign detection device.

In general X-ray diagnostic apparatuses, a type of X-ray tube that generates X-rays by irradiating a rotating anode with electrons emitted from a high-voltage cathode is often used. In such an X-ray tube, a solid bearing is used to smoothly rotate the anode. If the solid bearing deteriorates, the X-ray tube will break down and the X-ray diagnostic apparatus becomes unusable.

In particular, since it is not allowed that the X-ray diagnostic apparatus cannot be used in the medical field, the X-ray tube is replaced with a new one in a sufficiently usable state long before failure. This is a major cause of an increase in maintenance costs of the X-ray diagnostic apparatus. Therefore, in order to reduce maintenance costs, the X-ray tube is required to be used until just before failure and to be usable as long as possible.

For example, Patent Document 1 discloses a technique in which vibration generated by an X-ray tube is detected by a vibration sensor, frequency analysis is performed, and abnormal noise of the X-ray tube, that is, a failure sign is detected from the frequency analysis result. However, in an actual X-ray tube, abnormal noise generated from a deteriorated X-ray tube is generated due to electromagnetic noise generated from an inverter used to generate a high voltage applied to the cathode and an alternating current that rotates the anode. It is a practically difficult situation to detect.

Therefore, for example, in Patent Document 2, the vibration data obtained from the X-ray tube is filtered to remove the electromagnetic noise of the frequency component generated by the inverter, thereby preventing the influence of the electromagnetic noise of the inverter. An example of a tube failure sign detection device is disclosed. Patent Document 3 discloses an example of an X-ray tube failure sign detection apparatus that determines the rotation state of an anode from an off signal of an anode drive motor and detects a failure sign detection during inertial rotation. Has been.

JP 2011-45626 A JP 2013-29484 A WO2006 / 030786

In the X-ray tube failure sign detection technology described in Patent Document 1, it is only necessary to shield the electromagnetic noise of the inverter by mechanical and structural means, but there are various restrictions on the mounting position of the vibration sensor and the like. There is a demerit that the production cost increases.
In the case of the technology for removing electromagnetic noise described in Patent Document 2 with a filter, if the frequency component of electromagnetic noise is close to the frequency component of abnormal noise, there is a risk that even the frequency component of abnormal noise may be removed.

In the case of the technique described in Patent Document 3, since the abnormal noise of the X-ray tube during inertial rotation when the inverter is not operating is detected, the problem of electromagnetic noise due to the inverter is solved. However, if an apparatus for detecting a sign of a failure of an X-ray tube is to be incorporated into an existing X-ray apparatus, it is necessary to capture an anode rotation on / off signal from a starter controller for driving the anode rotation. In addition to the X-ray tube, the X-ray apparatus main body side needs to be modified.

In view of the above-described problems of the prior art, the object of the present invention is to detect a sign of failure of an X-ray tube while minimizing the modification of the X-ray device and without being affected by the electromagnetic noise of the inverter. A possible X-ray tube failure sign detection device, an X-ray tube failure sign detection method, and an X-ray device are provided.

An X-ray tube failure sign detection apparatus according to the present invention includes a first vibration sensor that measures vibration generated inside an X-ray tube, a second vibration sensor that measures vibration generated outside the X-ray tube, A frequency analysis unit that analyzes frequency of vibration data measured by the first vibration sensor, and triggers a timing when the vibration level of the vibration measured by the second vibration sensor becomes lower than a predetermined threshold value. The vibration data of the vibration measured by the first vibration sensor is acquired, the frequency analysis of the vibration data is performed via the frequency analysis unit, and the failure sign detection is performed based on the frequency analysis result. Is an X-ray tube failure sign detection device.

According to the present invention, an X-ray tube failure sign detection device capable of detecting a failure sign of an X-ray tube with minimal modification of the X-ray device and without being affected by the electromagnetic noise of the inverter, An X-ray tube failure sign detection method and an X-ray apparatus are provided.

The figure which showed the example of the whole structure of the X-ray apparatus provided with the X-ray tube failure sign detection apparatus which concerns on embodiment of this invention. The figure which showed the example of the hardware constitutions of the X-ray tube failure sign detection apparatus which concerns on embodiment of this invention. The figure which showed the example of the functional block structure of the data processing unit in the X-ray tube failure sign detection apparatus which concerns on embodiment of this invention. The figure which showed the example of the determination process in a detection mode determination part as a list. The figure which showed typically the example of the processing content of a noise level calculation part. The figure which showed the example of the functional block structure of a failure sign detection part. The figure which showed the example of the functional block structure of the switch part. The figure which showed the example of the functional block structure of a detection time determination part. The figure which showed the example of the whole processing flow of the X-ray tube failure sign detection process in an X-ray tube failure sign detection apparatus. The figure which showed the example of the processing flow of the measurement process by the sensor unit for sources or the sensor unit for noise. The figure which showed the example of the detailed process flow of the diagnostic input permission reception process by a diagnostic input permission reception part. The figure which showed the example of the detailed process flow of the failure sign detection process by a failure sign detection part. The figure which showed the example of the detailed process flow of the detection time determination process by a detection time determination part. The figure which showed the example of the data structure memorize | stored in a recording device. The figure which showed the example of the display screen displayed on a display apparatus when the diagnosis permission input reception process by a diagnosis permission input reception part is performed. The figure which showed the example of the time chart of a noise level signal, a noise low level signal, and a frequency component. The figure which showed the example of the time chart regarding the detection time determination in a detection time determination part. The figure which showed the example of the control processing flow in a starter control apparatus. The figure which showed the example of the hardware constitutions of the X-ray tube failure sign detection apparatus which concerns on the modification of embodiment of this invention

Hereinafter, modes for carrying out the present invention (hereinafter referred to as “embodiments”) will be described in detail with reference to the drawings.

FIG. 1 is a diagram illustrating an example of the entire configuration of an X-ray apparatus 100 including an X-ray tube failure sign detection apparatus 10 according to an embodiment of the present invention. As shown in FIG. 1, the X-ray apparatus 100 includes an X-ray tube failure sign detection device 10, an X-ray tube 12, a high voltage device 16, a filament heating device 17, a starter device 18, and an AC power source 19. , Including.

The X-ray tube 12 is configured by housing and fixing an X-ray tube 121, which is a kind of vacuum tube, in an X-ray tube housing 120. A rotating anode 123 and a cathode 124 are accommodated in the X-ray tube 121. At this time, the rotating anode 123 is supported on the inner wall of the container of the X-ray tube 121 via a bearing mechanism such as a solid bearing, and on the outside of the X-ray tube 121 on which the rotating anode 123 is disposed, A stator 122 that supplies an alternating magnetic field that rotates the rotating anode 123 is disposed.
In such an X-ray tube 12, when a high voltage is applied between the cathode 124 and the rotating anode 123, electrons emitted from the filament of the cathode 124 are accelerated by the high voltage and attached to the rotating anode 123. X-rays are generated by colliding with the target material 123a.

The high voltage device 16 is a device that generates a high voltage applied between the cathode 124 and the rotary anode 123 of the X-ray tube 12, and a DC power source 161 connected to the AC power source 19, and an AC of a specific frequency from the DC voltage. A high voltage inverter 162 that generates a voltage and a high voltage transformer 163 that converts an AC voltage having a specific frequency into a DC voltage are included.

The filament heating device 17 is a device that generates a current for heating the filament of the cathode 124, and includes a DC power source 171, a filament inverter 172, and a filament transformer 173, similar to the high voltage device 16. Is done.

The starter device 18 is a device for generating a voltage for generating a magnetic force in the stator 122 of the X-ray tube 12, and includes a DC power supply 181, a starter inverter 182, a starter transformer 183, and a starter control device 184. And comprising. The starter control device 184 controls the rotation of the rotating anode 123 by controlling how the voltage is applied to the stator 122.

The X-ray tube failure sign detection apparatus 10 includes a data processing unit 11 configured by a computer such as a so-called personal computer, and a source for measuring vibrations generated in the X-ray tube 12 and the position, posture, temperature, etc. of the X-ray tube 12. A sensor unit 13 for noise, a noise sensor unit 14 for measuring vibration caused by the outside of the X-ray tube 12, and a vibration isolating material 15 for blocking the noise sensor unit 14 from vibration inside the X-ray tube 12. Consists of including.

Here, the acceleration sensor 131 (see FIG. 2) included in the source sensor unit 13 is attached to the X-ray tube casing 120, and particularly measures slight vibration (sound) generated when the rotating anode 123 rotates. Is. However, in reality, the acceleration sensor 131 cannot avoid the influence of electromagnetic noise from the high voltage inverter 162, the filament inverter 172, the starter inverter 182 and the like.

On the other hand, the noise sensor unit 14 measures vibrations caused by electromagnetic noise mainly from the high voltage inverter 162, the filament inverter 172, the starter inverter 182 and the like, that is, noise that is a noise for the acceleration sensor 131. To do. Therefore, in the present embodiment, the noise sensor unit 14 is attached to the X-ray tube casing 120 via the vibration blocking material 15 that does not propagate vibration, and does not measure vibration generated inside the X-ray tube 12. Has been.

The noise sensor unit 14 is not attached to the X-ray tube casing 120 via the vibration isolator 15 but is located as far as possible from the X-ray tube 12, for example, a high voltage that is a source of electromagnetic noise. It may be installed at a location close to the inverter 162 for use.

FIG. 2 is a diagram showing an example of a hardware configuration of the X-ray tube failure sign detection apparatus 10 according to the embodiment of the present invention. As shown in FIG. 2, the source sensor unit 13 of the X-ray tube failure sign detection apparatus 10 includes an acceleration sensor 131, a temperature sensor 132, a gyro sensor 133, an A / D converter 134, and a signal processing unit 135. Is done.

Here, the acceleration sensor 131 is a so-called three-axis acceleration sensor, and measures the three-dimensional (x direction, y direction, and z direction) acceleration received by the X-ray tube 12. The temperature sensor 132 measures the temperature of the X-ray tube casing 120, and the gyro sensor 133 measures the rotation angle of the X-ray tube casing 120.

The A / D converter 134 converts each analog signal measured by the acceleration sensor 131, the temperature sensor 132, and the gyro sensor 133 into digital data.

The signal processing unit 135 serves to remove unnecessary frequency components for detection of a failure sign of the X-ray tube 12 (hereinafter also referred to as failure sign diagnosis or simply diagnosis) from each A / D converted digital data. Fulfill. The signal processing unit 135 converts the three-dimensional acceleration data obtained via the acceleration sensor 131 into vibration data emitted from the X-ray tube 12 and outputs the vibration data as X-ray tube vibration data Sa. Further, the signal processing unit 135 calculates and outputs housing position data Sb (in particular, the X coordinate and the Y coordinate) representing the position of the X-ray tube 12 by integrating the acceleration data in each direction. Similarly, the signal processing unit 135 outputs the temperature data obtained via the temperature sensor 132 as the case temperature data Sc, and outputs the angle data obtained via the gyro sensor 133 as the case angle data Sd.

In the source sensor unit 13, the processing order of the A / D converter 134 and the signal processing unit 135 may be reversed. As a sensor for detecting vibration generated by the X-ray tube 12, a voice detection microphone may be used instead of the acceleration sensor 131.

Similarly, the noise sensor unit 14 includes an acceleration sensor 141, an A / D converter 142, and a signal processing unit 143. Here, the acceleration sensor 141 is a so-called three-axis acceleration sensor, and measures the three-dimensional (x direction, y direction, and z direction) acceleration received by itself. The A / D converter 142 converts each analog signal measured by the acceleration sensor 141 into digital data. The signal processing unit 143 removes frequency components unnecessary for diagnosis from the three-dimensional acceleration data obtained via the acceleration sensor 141, and generates vibration data emitted from other than the X-ray tube 12, that is, noise vibration data Se. Output.
As a sensor for acquiring the noise vibration data Se, a voice detection microphone may be used instead of the acceleration sensor 141.

The data processing unit 11 of the X-ray tube failure sign detection device 10 includes a display device 111, an alarm device 112, a central processing device 113, an operation input device 114, a recording device 115, a storage device 116, an I / O port 117, and the like. It has a general computer configuration such as a so-called personal computer.

The I / O port 117 includes X-ray tube vibration data Sa, case position data Sb, case temperature data Sc, case angle data Sd, and noise vibration data output from the source sensor unit 13 or the noise sensor unit 14. Se is taken in and the data is written in the recording device 115. Note that the recording device 115 is a storage device that records data necessary for the X-ray tube failure sign detection process, and here is particularly distinguished from the storage device 116 that stores temporary data.

The central processing unit 113 implements a predetermined function of the X-ray tube failure sign detection device 10 by executing, for example, an X-ray tube failure sign detection processing program stored in the storage device 116. Details of the function will be described later.

Note that the display device 111 performs a display requesting permission for diagnosis of the X-ray tube failure sign detection to the operator according to a program executed by the central processing unit 113. The operation input device 114 is used by an operator to input data for permitting or not permitting diagnosis. The alarm device 112 is a device that issues an alarm when an abnormality occurs in the diagnosis result of the X-ray tube failure sign detection.

FIG. 3 is a diagram showing an example of a functional block configuration of the data processing unit 11 in the X-ray tube failure sign detection apparatus 10 according to the embodiment of the present invention. As shown in FIG. 3, the data processing unit 11 includes a frequency analysis unit 21, a detection mode determination unit 22, a noise level calculation unit 23, a threshold processing unit 24, a failure sign detection unit 25, a detection time determination unit 26, and the like. Composed.

The frequency analysis unit 21 acquires the X-ray tube vibration data Sa from the source sensor unit 13, performs frequency analysis by Fast Fourier Transform (FFT), and outputs the result as the frequency analysis result Sf. Moreover, the detection mode determination part 22 determines the angle of the attitude | position of the X-ray tube 12 from housing | casing position data Sb, housing | casing temperature data Sc, and housing | casing angle data Sd, and outputs the result as detection mode Sg. In addition, the noise level calculation unit 23 calculates the noise level Sh from the value of the noise vibration data Se. Further, the threshold processing unit 24 determines whether or not the noise level Sh exceeds a predetermined threshold, and outputs the result as a noise low level signal Si. However, the noise low level signal Si represents that the noise level Sh is equal to or less than a threshold value.

The failure sign detection unit 25 detects the failure sign of the X-ray tube 12 using the frequency analysis result Sf using the rise of the noise low level signal Si as a trigger, and outputs the result as a failure sign signal Sj. At this time, the detection time determination unit 26 measures the detection time by using the rising edge of the diagnosis permission signal Sk as a start signal and measuring the detection time as a termination signal when the rotational component of the frequency analysis result Sf is less than a predetermined threshold. By determining whether or not the threshold value is exceeded, a genuine tube detection signal Sm indicating whether or not the tube is a genuine tube is output. The detection time determination unit 26 measures the time from the rising edge to the falling edge of the failure sign signal Sj, and determines whether or not it is a genuine tube by determining whether or not a predetermined threshold value is exceeded. May be.

The diagnosis permission input reception unit 27 receives the diagnosis permission request signal S1 from the failure sign detection unit 25 and displays on the display device 111 asking for diagnosis permission. The diagnosis permission input receiving unit 27 outputs a diagnosis permission signal Sk toward the failure sign detection unit 25 and the detection time determination unit 26 when receiving an input regarding diagnosis permission via the operation input device 114.

Note that the functional blocks constituting the above data processing unit 11 will be described in more detail with reference to the subsequent drawings.

FIG. 4 is a diagram showing an example of determination processing in the detection mode determination unit 22 as a list. The detection mode determination unit 22 determines whether or not the housing angle data Sd is equal to or greater than the threshold value θc, and then determines whether or not the housing temperature data Sc is equal to or greater than the threshold value Tc. Of these, it is determined whether or not the x-axis component is greater than or equal to Xc, and it is determined whether or not the y-axis component is greater than or equal to Yc. Then, the detection mode determination unit 22 refers to the detection mode classification table prepared in advance as shown in FIG. 4 according to the determination results of the above four items, obtains the corresponding mode number, and determines the mode number. Output as detection mode Sg.

For example, in FIG. 4, when the case angle data Sd is equal to or greater than the threshold value θc, the case temperature data Sc is less than the threshold value Tc, and the X-axis component of the case position data Sb is equal to or greater than Xc and the Y-axis component is less than Yc. The detection mode Sg is the mode number “5”. The mode number classification in FIG. 4 is merely an example and does not have a specific meaning.

FIG. 5 is a diagram schematically illustrating an example of processing contents of the noise level calculation unit 23. Here, when the noise vibration data Se is represented as a time function a (t), the time function z (t) representing the noise level Sh can be defined by, for example, Expression (1).

In this equation (1), the function z (t) representing the noise level Sh is expressed by the area from the time t to t + dT of the absolute value of the function a (t) representing the noise vibration data Se. The absolute value of the function a (t) representing the noise vibration data Se may be simply used. In addition, frequency analysis of the noise level Sh is performed, and the absolute value of the specific frequency component, the area from time t to t + dT, and the like may be used as the noise level Sh.

FIG. 6 is a diagram illustrating an example of a functional block configuration of the failure sign detection unit 25. As illustrated in FIG. 6, the failure sign detection unit 25 includes a switching unit 254, m distance calculation units 251, a minimum value calculation unit 252, and a threshold determination unit 253. In this embodiment, the m-means clustering method is adopted as a basic concept of the failure sign detection in the failure sign detection unit 25.

That is, in the m-average clustering method, newly acquired data is compared with the average value for each cluster of normal data acquired in the past and clustered into m pieces. Then, when the newly acquired data is considered to be substantially the same as any one of the average values for the m clusters, the newly acquired data is considered normal. Note that the number m of clusters may be one.

In the case of the present embodiment, newly acquired data is a vector (y1, y2,... Yn) composed of n frequency components acquired by frequency analysis of the X-ray tube vibration data Sa. Further, the m normal data acquired in the past is the center of each of the m clusters composed of n frequency components acquired in the past normal time (that is, when there is no abnormality in the X-ray tube 12). This is a vector (y1a _i , y2a _i ,... Yna _i ) (j = 1,..., M). Here, each component of the vector representing the center of the cluster is represented by an average value of each component of the vector belonging to each cluster.

In the present embodiment, the distance between the newly acquired vector (y1, y2,..., Yn) consisting of n frequency components and m vectors representing the centers of the clusters is obtained (the distance is m is obtained), and the minimum value of the obtained m distances is obtained. If the minimum distance is smaller than a predetermined threshold distance, the newly acquired vector (y1, y2,..., Yn) It is judged to be almost the same as the vector representing the center, and is regarded as normal data.
On the other hand, if the minimum distance is equal to or greater than the threshold distance, it is determined that the newly acquired vector (y1, y2,..., Yn) does not belong to any cluster and is abnormal. Data is considered.

The failure sign detection unit 25 shown in FIG. 6 detects a failure sign based on the m-average clustering method described above. Hereinafter, the function of each block constituting the failure sign detection unit 25 will be described.

The switching unit 254 receives the noise low level signal Si output from the threshold processing unit 24 (see FIG. 3), and outputs a diagnosis permission request signal S1 to the diagnosis permission input receiving unit 27. Further, the switching unit 254 receives the diagnosis permission signal Sk output from the diagnosis permission input receiving unit 27, and decomposes the frequency analysis result Sf into frequency components y1, y2,.

Among the distance calculation units 251, the j-th distance calculation unit 251 # j (i = 1,..., M) is a vector represented by the frequency components y1, y2,. The distance from the vector represented by the center (average value) of the j-th cluster obtained in advance from the normal X-ray tube vibration data Sa is calculated. Here, the distance L _j calculated by the j-th distance calculation unit 251 # j is defined by the following equation (2).

Here, yka _j is an average value of the frequency components yj of the j-th cluster. The average value yka _j is prepared for each detection mode Sg, and therefore the distance L _j is calculated according to the detection mode Sg at that time.

Next, the minimum value calculation unit 252 performs an operation for obtaining a minimum value from the distances L ₁ to L _m calculated by the distance calculation units 251 # 1 to #m, and sets the minimum value obtained as a result as the degree of abnormality Sn. Output as. In addition, the threshold determination unit 253 determines whether or not the degree of abnormality Sn is greater than or equal to a predetermined threshold, and if it is greater than or equal to the threshold, outputs a failure sign signal Sj.

FIG. 7 is a diagram illustrating an example of a functional block configuration of the switching unit 254. As shown in FIG. 7, in the switching unit 254, the switch 2540 connects the frequency analysis result Sf to the demultiplexer 2543 when the diagnosis permission signal Sk is ON, and frequency analysis when the diagnosis permission signal Sk is OFF. The output of the temporary result output unit 2541 is connected to the demultiplexer 2543. As a result, the demultiplexer 2543 takes in the frequency analysis result Sf or the temporary frequency analysis result according to the ON / OFF of the diagnosis permission signal Sk, and outputs it as the frequency components y1 to yn.

In this case, the frequency analysis provisional result output unit 2541, a frequency analysis provisional result, and outputs the average value _y1a 1 ~ _{yna n} frequency components y1 ~ yn of each detection mode Sg. That is, by outputting an average value _y1a 1 ~ _{yna n} in the detection mode Sg, the value of the distance _L 1 ~ _{L m} calculated by the distance calculation unit 251 is zero. That is, since the degree of abnormality Sn is 0, the failure predictor signal Sj is not detected when the threshold value is determined by the threshold value determination unit 253, so that the diagnostic function can be turned off.

Furthermore, the switching unit 254 has a function of causing the diagnosis permission request generation unit 2542 to generate a diagnosis permission request signal Sl from the noise low level signal Si.

FIG. 8 is a diagram illustrating an example of a functional block configuration of the detection time determination unit 26. As shown in FIG. 8, in the detection time determination unit 26, the switch 260 connects the frequency analysis result Sf to the demultiplexer 263 when the diagnosis permission signal Sk is ON, and when the diagnosis permission signal Sk is OFF. The output of the frequency analysis temporary result output unit 261 is connected to the demultiplexer 263. The demultiplexer 263 outputs frequency components y1 to yn based on the frequency analysis result Sf or the temporary frequency analysis result.

The role of the frequency analysis temporary result output unit 261 is the same as the role of the frequency analysis temporary result output unit 2541 in the switching unit 254.

The first threshold value processing unit 264 determines whether or not the frequency component yi of the rotation of the rotating anode 123 exceeds a predetermined threshold value, and outputs a rotation end signal when it falls below the threshold value. The first time measurement unit 265 performs time measurement using the diagnosis permission signal Sk as a start signal and the rotation end signal as an end signal, and outputs it as detection time # 1. Further, the second threshold processing unit 267 determines whether or not the detection time # 1 measured by the first time measurement unit 265 is below a predetermined threshold, and if the detection time # 1 is below the threshold, the determination result # 1 is output as ON, and if it is not less than the threshold, determination result # 1 is output as OFF.

On the other hand, the second time measurement unit 266 starts time measurement when the failure sign signal Sj changes from OFF to ON, ends time measurement when the failure sign signal Sj changes from ON to OFF, and detects the result as detection time # 2. Output as. The third threshold processing unit 268 determines whether or not the detection time # 2 measured by the second time measurement unit 266 is below a predetermined threshold, and if the detection time # 2 is below the threshold, The determination result # 2 is output as ON, and if it is not below the threshold, the determination result # 2 is output as OFF. Furthermore, the detection time determination unit 26 outputs a content obtained by ANDing the determination result # 1 and the determination result # 2 as a genuine tube detection signal Sm.

The genuine tube detection signal Sm determined and output as described above is based on the following concept. That is, the genuine X-ray tube 121 is designed in consideration of the time from the decrease in the noise level Sh to the rotation stop, or the detection time from the detection of the failure sign signal Sj to the end of detection, The non-genuine X-ray tube 121 is generally different from the genuine X-ray tube 121 in terms of its characteristics. The non-genuine X-ray tube 121 is used because its price is low. Therefore, in the non-genuine X-ray tube 121, no extra man-hours are spent for shortening the rotation stop time described above. Therefore, it is possible to determine whether or not the X-ray tube is genuine by determining whether or not each time is equal to or less than a certain value.

FIG. 9 is a diagram showing an example of the entire processing flow of the X-ray tube failure sign detection process in the X-ray tube failure sign detection apparatus 10. First, the noise sensor unit 14 mainly measures noise vibration caused by the outside such as electromagnetic noise of the inverter (step S01). Next, the data processing unit 11 acquires the noise vibration data Se from the noise sensor unit 14 via the noise level calculation unit 23, and calculates the noise level Sh (step S02). Next, the data processing unit 11 determines whether or not the noise level Sh is lower than a predetermined threshold value via the threshold processing unit 24 (step S03), and if not lower than the threshold value (No in step S03). Then, the X-ray tube failure sign detection process is terminated.

On the other hand, when the noise level Sh is lower than the predetermined threshold value (Yes in step S03), the data processing unit 11 accepts an operation input for diagnosis permission by the operator via the diagnosis permission input reception unit 27 (step S04). ) If the diagnosis is not permitted (No in step S05), the X-ray tube failure sign detection process is terminated.

On the other hand, when the diagnosis is permitted (Yes in step S05), the source sensor unit 13 measures the vibration of the X-ray tube 12 (step S06) and measures the housing position of the X-ray tube 12 (step S06). S07), the housing temperature of the X-ray tube 12 is measured (step S08), and the housing angle of the X-ray tube 12 is further measured (step S09).

Next, the data processing unit 11 acquires the X-ray tube vibration data Sa from the source sensor unit 13, performs frequency analysis via the frequency analysis unit 21 (step S <b> 10), and obtains it from the source sensor unit 13. The detection mode determination unit 22 determines the detection mode Sg using the case position data Sb, the case temperature data Sc, and the case angle data to be detected (step S11).

Further, the data processing unit 11 executes a failure sign detection process by the failure sign detection unit 25 (step S12), executes a detection time determination process by the detection time determination unit 26 (step S13), and the X-ray tube failure The sign detection process is terminated. Details of the failure sign detection process and the detection time determination process will be described later.

FIG. 10 is a diagram showing an example of a processing flow of measurement processing by the source sensor unit 13 or the noise sensor unit 14. In the description here, the source sensor unit 13 or the noise sensor unit 14 is simply referred to as a sensor unit, and the three- axis acceleration sensors 131 and 141, the temperature sensor 132, or the gyro sensor 133 is simply referred to as a sensor. .

As shown in FIG. 10, the sensor unit measures raw data by the sensor (step S21), and subsequently converts the measured raw data from analog data to digital data using A / D converters 134 and 142. Conversion is performed (step S22). Next, the sensor unit subjects the measurement data converted to digital data to filter processing by the signal processing units 135 and 143, and removes unused frequency components (step S23). Note that the execution order of step S22 and step S23 may be reversed.

Next, the sensor unit determines the type of measurement data (step S24), and when the type of measurement data is a case temperature or a case angle (temperature, angle in step S24), the measurement process ends. To do. Further, when the type of measurement data is vibration data (vibration data in step S24), the sensor unit calculates vibration data from triaxial acceleration data (step S25), and the type of measurement data is position. If it is data (position data in step S24), the position data is calculated by integrating the three-axis acceleration data (step S26), and the measurement process is terminated.

FIG. 11 is a diagram showing an example of a detailed processing flow of the diagnosis input permission receiving process by the diagnosis permission input receiving unit 27. The diagnostic input permission acceptance process described below corresponds to the process of step S04 in FIG.

As shown in FIG. 11, the data processing unit 11 first refers to a diagnosis availability flag (see FIG. 14 described later) stored in the recording device 115 to determine whether diagnosis is possible (step S0401).

As a result of the determination, if the diagnosis is possible (Yes in step S0401), the data processing unit 11 further refers to the diagnosis time and the internal clock stored in the recording device 115 to determine whether the diagnosis is in progress. It is determined whether or not (step S0402). As a result of the determination, if the diagnosis is being performed (Yes in step S0402), the data processing unit 11 ends the diagnosis input permission acceptance process. On the other hand, if it is not under diagnosis (No in step S0402), the process proceeds to step S0404.

On the other hand, if the determination in step S0401 is a diagnosis failure (No in step S0401), the diagnosis time and internal clock stored in the recording device 115 are further referred to to determine whether or not the diagnosis is stopped. Determination is made (step S0403). As a result of the determination, if the diagnosis is stopped (Yes in step S0403), the data processing unit 11 ends the diagnosis input permission acceptance process. On the other hand, if the diagnosis is not stopped (No in step S0403), the process proceeds to step S0404.

Therefore, the data processing unit 11 performs a display requesting diagnosis permission on the display device 111 and receives an operation input for diagnosis permission (step S0404). If diagnosis is permitted by the operation input (Yes in step S0405), the data processing unit 11 inquires of the operator via the display device 111 whether the diagnosis is automatically continued. If an operation input indicating that diagnosis is automatically continued is received (Yes in step S0406), the data processing unit 11 receives an input of diagnosis time via the operation input device 114 (step S0408). The diagnosis input permission acceptance process is terminated. On the other hand, when an operation input indicating that the diagnosis is not automatically continued is received (No in step S0406), the data processing unit 11 sets the diagnosis time to 0 (step S0409) and performs the diagnosis input permission reception process. finish.

If the diagnosis is not permitted by the operation input in step S0404 (No in step S0405), the data processing unit 11 determines whether or not the diagnosis is automatically continued for the operator via the display device 111. Inquire. If an operation input for automatically continuing diagnosis stop is received (Yes in step S0407), the data processing unit 11 receives an input of a stop time via the operation input device 114 (step S0410). Then, the diagnosis input permission acceptance process is terminated. On the other hand, when an operation input indicating that the diagnosis is not automatically continued is received (No in step S0407), the data processing unit 11 sets the stop time to 0 (step S0411), and performs the diagnosis input permission reception process. finish.

Note that examples of display screens related to the above diagnostic input permission acceptance processing will be described separately with reference to the drawings.

FIG. 12 is a diagram showing an example of a detailed processing flow of the failure sign detection process by the failure sign detection unit 25. The failure sign detection process described below corresponds to the process of step S12 in FIG.

The data processing unit 11 takes in the detection mode Sg determined by the detection mode determination unit 22, and reads the average value data of the frequency components corresponding to the detection mode Sg with reference to the recording device 115 (step S121). Next, 1 is set to the repeat counter j (step S122), the distance calculating unit 251 # j by calculating the distance _{L j} (step S123), while counting up the counter j, the counter j to the process of step S123 The process is repeatedly executed until m = m (step S124). Here, m is the number of characteristic frequency components, that is, the number of frequency components for which average value data is prepared in the recording device 115.

Next, the data processing unit 11 calculates the minimum value from the distances L ₁ to L _m via the minimum value calculation unit 252 (step S125), and sets the minimum value as the degree of abnormality Sn. Subsequently, the data processing unit 11 determines whether or not the abnormality level Sn is larger than the predetermined threshold value via the threshold value determination unit 253 (step S126). If the abnormality level Sn is larger than the predetermined threshold value, A failure sign signal Sj is output.

FIG. 13 is a diagram illustrating an example of a detailed processing flow of detection time determination processing by the detection time determination unit 26. Note that the detection time determination process described below corresponds to the process of step S13 in FIG.

First, the data processing unit 11 determines whether or not the diagnosis permission signal Sk has changed from rejection to permission (S1301). If the diagnosis processing signal Sk has changed from rejection to permission (Yes in S1301), the first time measuring unit 265 is determined. Thus, measurement of the detection time # 1 is started (step S1302). If the diagnosis permission signal Sk does not change from rejection to permission (No in S1301), the process of step S1302 is skipped.

Next, the data processing unit 11 determines whether or not the failure sign signal Sj has changed from OFF to ON (step S1303), and when the failure sign signal Sj has changed from OFF to ON (Yes in step S1303). ), The measurement of the detection time # 2 by the second time measurement unit 266 is started (step S1304). Further, when the failure sign signal Sj does not change from OFF to ON (No in step S1303), the process of step S1304 is skipped.

Subsequently, the data processing unit 11 determines whether or not the frequency component yi output from the demultiplexer 263 is greater than or equal to a predetermined threshold yc (step S1305). In step S1305, Yes), the measurement of the detection time # 1 by the first time measurement unit 265 is terminated (step S1306). Further, the data processing unit 11 executes the second threshold value processing by the second threshold value processing unit 267 (step S1307), and when the value of the detection time # 1 is equal to or greater than the predetermined threshold value, the determination result # If Y is set to 1 and it is not equal to or greater than the predetermined threshold value, N is set to determination result # 1. On the other hand, if it is determined in step S1305 that the frequency component yi is not equal to or greater than the predetermined threshold yc (No in step S1305), the data processing unit 11 sets Y to the determination result # 1 (step S1308).

Next, the data processing unit 11 determines whether or not the failure sign signal Sj has changed from ON to OFF (step S1309), and when the failure sign signal Sj has changed from ON to OFF (Yes in step S1309). ), The measurement of the detection time # 2 by the second time measurement unit 266 is terminated (step S1310). Further, the data processing unit 11 executes the third threshold processing by the third threshold processing unit 268 (step S1311), and when the value of the detection time # 2 is equal to or greater than the predetermined threshold, the determination result # If Y is set to 2 and it is not equal to or greater than the predetermined threshold value, N is set to determination result # 2. On the other hand, if the failure sign signal Sj does not change from ON to OFF in the determination in step S1309 (No in step S1309), the data processing unit 11 sets Y to the determination result # 2 (step S1312).

Next, the data processing unit 11 determines whether or not Y is set for both the determination result # 1 and the determination result # 2 (step S1313), and when both are set for Y (step S1313) In S1313, Y is set to the genuine tube detection signal Sm (Step S1314). On the other hand, if Y is not set in both the determination result # 1 and the determination result # 2, the data processing unit 11 sets N in the genuine tube detection signal Sm (step S1315). Here, when the genuine tube detection signal Sm is Y, it is considered that a genuine tube is used as the X-ray tube 12, and when the genuine tube detection signal Sm is N, the genuine tube is used as the X-ray tube 12. Is considered unused.

FIG. 14 is a diagram showing an example of a data configuration stored in the recording device 115. As shown in FIG. 14, the recording device 115 includes frequency analysis data 1151, noise level calculation time interval (dT) 1152, noise low level threshold (ac) 1153, detection mode determination data 1154, failure sign detection. Data 1155, detection time determination data 1156, and diagnosis permission input acceptance data 1157 are stored.

The frequency analysis data 1151 is data used by the frequency analysis unit 21 and includes a sampling frequency (fs) and a frequency resolution (fc).
The sampling frequency (fs) represents the frequency at which the measurement data is sampled, and the frequency resolution (fc) represents the frequency interval at which the frequency analysis result is output. In other words, the frequency analysis unit 21 determines the number of FFT (Fast Fourier Transform) based on the sampling frequency (fs) and the frequency resolution (fc), and performs an FFT operation.

The noise level calculation amount time interval (dT) 1152 is a variable used by the noise level calculation unit 23, and is a parameter used in the integration interval in the calculation of the noise level (see also FIG. 5). The noise low level threshold (ac) 1153 is a variable used by the threshold processing unit 24 and is used as a threshold for determining whether or not the noise level is low.

The detection mode determination data 1154 is a table used by the detection mode determination unit 22 to determine the detection mode Sg from the measured position, temperature, and angle of the X-ray tube 12 (see also FIG. 4).
Therefore, as the detection mode determination data 1154, an angle threshold, a temperature threshold, an X-axis threshold, and a Y-axis threshold are stored. Further, as a mode table element of the detection mode determination data 1154, for each mode number of each detection mode, whether the measured angle is equal to or greater than the angle threshold, whether the measured temperature is equal to or greater than the temperature threshold is measured. Data indicating whether or not the X coordinate at the position is greater than or equal to the X-axis threshold and whether the Y coordinate is greater than or equal to the Y-axis threshold is stored.

The failure sign detection data 1155 is used by the failure sign detection unit 25 and is a variable for performing calculation related to failure sign detection, and includes detection mode i average value data and an abnormality degree threshold for the number of detection modes.
The average value data for detection mode i is an accumulation of average values for distance calculation in detection mode i. That is, the average value data for detection mode i is composed of m distance calculation j average value data, and each distance calculation j average value data is composed of n frequency component k average values. . That is, the average value of the frequency component k represents the average value of the frequency component k in the detection mode i and the cluster j.
The abnormality level threshold value is a threshold value used when the threshold value determination unit 253 performs threshold value determination of the abnormality level Sn.

The detection time determination data 1156 is used by the detection time determination unit 26 and includes a determination result # 1 threshold, a determination result # 2 threshold, and a frequency component threshold.
The threshold for determination result # 1 is a threshold used by the second threshold processing unit 267 for threshold determination (step S1307 in FIG. 13), and the threshold for determination result # 2 is used by the third threshold processing unit 268 for threshold determination. (Step S1311 in FIG. 13).
The frequency component threshold is a threshold used by the first threshold processing unit 264 for threshold determination (step S1305 in FIG. 13).

The diagnosis permission input reception data 1157 is used by the diagnosis permission input reception unit 27 and includes diagnosis (stop) time and diagnosis availability data.
The diagnosis (stop) time represents the time from the start to the end of diagnosis when the diagnosis is automatically continued for a certain period of time. The diagnosis (stop) time can also indicate the time from the start to the end of diagnosis when the diagnosis is automatically stopped for a certain time.
The diagnosis availability is data indicating whether a diagnosis or a stop has been made when diagnosis or diagnosis stop is automatically continued.

FIG. 15 is a diagram illustrating an example of a display screen displayed on the display device 111 when the diagnosis permission input receiving process by the diagnosis permission input receiving unit 27 is executed. First, the display device 111 displays a screen G01 for asking whether diagnosis is possible. Therefore, when “Yes” is selected, a screen G02 for asking whether or not to automatically diagnose is displayed. Next, when “No” is selected on the screen G02, the screen returns to the screen G01. Further, when “Yes” is selected on the screen G02, a screen G03 for accepting an input of a diagnosis time is displayed. When the input of the diagnosis time is completed on the screen G03, the screen moves to a screen G04 indicating that the diagnosis is ongoing. When the diagnosis duration time elapses, the screen returns to the screen G01 for asking whether diagnosis is possible.

On the other hand, when “No” is selected on the screen G01, a screen G05 is displayed asking whether or not to continue the stop automatically. When “No” is selected on the screen G05, the screen returns to the screen G01. Further, when “Yes” is selected on the screen G05, a screen G06 for accepting the input of the stop time is displayed. When the input of the stop time is completed on the screen G06, the screen moves to a screen G07 indicating that the stop is continuing. When the stop duration time elapses, the screen returns to the screen G01 for asking whether diagnosis is possible.

FIG. 16 is a diagram showing an example of a time chart of the noise level Sh, the noise low level signal Si, and the frequency components y1, y2, and yn. In FIG. 16, the horizontal axis represents the time axis, and the vertical axis represents the values of the noise level Sh, the noise low level signal Si, and the frequency components y1, y2, and yn in order from the top. Here, for the frequency components y1, y2, and yn, the measured values including noise are represented by thick solid lines, and the true values not including noise are represented by thick broken lines.

As shown in FIG. 16, when the noise level Sh (= z (t)) falls below a predetermined threshold (noise low level threshold (ac) 1153 shown in FIG. 14) at the timing of the thin broken line, the threshold processing unit 24 The noise low level signal Si is turned ON. And since noise becomes small bordering on this thin broken line, the difference between the measured value and the true value of the frequency components y1, y2, yn is reduced. Therefore, by performing threshold processing of the noise level Sh and starting diagnosis at that timing, it becomes possible to perform failure sign diagnosis while minimizing the influence of noise.

FIG. 17 is a diagram showing an example of a time chart relating to detection time determination in the detection time determination unit 26. In FIG. 17, the horizontal axis is the time axis, and the vertical axis is the frequency component yi, diagnosis permission signal Sk, rotation end signal, detection time # 1, determination result # 1, failure sign signal Sj, detection time # 2, in order from the top. The determination result # 2 is the value of each of the genuine tube detection signal Sm.

Here, when the diagnosis permission signal Sk rises, the counting of the detection time # 1 is started and the detection time # 1 increases. When the frequency component yi falls below a predetermined threshold value, the rotation end signal changes from OFF to ON, and the measurement of the detection time # 1 ends at that timing, and the value of the detection time # 1 becomes constant. Meanwhile, when the value of the detection time # 1 exceeds a predetermined threshold, the determination result # 1 changes from Y (ON) to N (OFF).

On the other hand, when the failure sign signal Sj is turned from OFF to ON, counting of the detection time # 2 is started, and the value of the detection time # 2 increases from that timing. When the failure sign signal Sj changes from ON to OFF, the detection time # 2 is counted, and the value of the detection time # 2 becomes constant at that timing. During this time, when the value of the detection time # 2 exceeds a predetermined threshold, the determination result # 2 changes from Y (ON) to N (OFF). The genuine tube detection signal Sm changes from Y (ON) to N (OFF) at the timing when either of the determination result # 1 and the determination result # 2 becomes N.

FIG. 18 is a diagram showing an example of a control processing flow in the starter control device 184. As shown in FIG. 18, the starter control device 184 first starts to rotate the rotating anode 123 (step S181). Specifically, a drive current is supplied to the stator 122 to rotate the rotary anode 123. Subsequently, the starter control device 184 ends the rotational drive of the rotary anode 123 (step S182). Specifically, the supply of drive current to the stator 122 is stopped. Thereafter, a dummy count is performed for several seconds (step S183).

Next, the starter control device 184 starts rotational braking of the rotary anode 123 (step S184). Specifically, a braking current is supplied to the stator 122 so that the rotating anode 123 stops. Subsequently, the starter control device 184 ends the rotational braking of the rotary anode 123 (step S185). Specifically, the supply of the braking current to the rotating anode 123 is stopped.

In the above control process, the current supply to the stator 122 is stopped during the dummy count for several seconds (step S183), so that the noise level Sh is reduced below a predetermined threshold value. Therefore, the X-ray tube failure sign detection apparatus 10 can detect a failure sign without being significantly affected by noise during the dummy count (step S183) for several seconds.

As described above, according to the embodiment of the present invention, it is possible to determine a noise level from a noise generation source such as an inverter and detect a failure sign while the noise level is low. Therefore, it is possible to detect the occurrence of abnormal noise from the rotating anode 123 or the like without being affected by noise from the noise generation source. In this case, it is not necessary to make a modification such as newly acquiring a control signal from the starter controller 184 or the like.

In this embodiment, since the detection mode is determined based on the housing position, housing angle, and housing temperature of the X-ray tube 12, the detection mode, that is, various housing positions and housings of the X-ray tube 12 are determined. Appropriate failure sign detection can be performed according to the angle and the casing temperature.

In addition, the genuine X-ray tube 12 is designed in consideration of the detection time from the stop command to the stop, whereas the non-genuine X-ray tube 12 has a detection time of genuine X-ray due to its characteristics. It is thought that it is different from the tube. In the present embodiment, it is possible to determine whether or not the X-ray tube 12 is genuine by determining whether or not the detection time is equal to or greater than a certain value.

FIG. 19 is a diagram illustrating an example of a hardware configuration of an X-ray tube failure sign detection apparatus 10a according to a modification of the embodiment of the present invention. As shown in FIG. 19, the configuration of the X-ray tube failure sign detection device 10a according to this modification is the same as that of the X-ray tube failure sign detection device 10 shown in FIG. 2, the source sensor unit 13a, and the noise sensor. The difference is that each of the units 14a includes sound sensors 136 and 144 such as microphones.

That is, in the present modification, the source sensor unit 13a has an audio sensor 136 added to the acceleration sensor 131, the temperature sensor 132, and the gyro sensor 133 as sensors. The sound sensor 136 detects vibration generated by the X-ray tube 12 as sound, and the detection signal passes through the A / D converter 134 and the signal processing unit 135 and is output as sound X-ray tube vibration data Sa. Therefore, in this modification, the detection signal of the acceleration sensor 131 is used to calculate the housing position data Sb representing the position of the X-ray tube 12, and is not used to generate the X-ray tube vibration data Sa. .

Further, in the noise sensor unit 14a of the present modification, a voice sensor 144 is used instead of the acceleration sensor 141. Then, noise emitted from other than the X-ray tube 12 is detected by the voice sensor 144, passes through the A / D converter 142 and the signal processing unit 143, and is output as voice noise vibration data Se.

Hereinafter, the configuration of the data processing unit 11 is the same as the configuration in the above-described embodiment, and various processes performed in the data processing unit 11 are the same as the processing in the above-described embodiment. That is, in this modification, it can be said that the above-described embodiment is configured to detect a sign of failure of the X-ray tube 12 by detecting an abnormality in the sound emitted from the X-ray tube 12, that is, an abnormal sound. .

In this modified example, since a voice sensor such as a microphone is used as the voice sensors 136 and 144, the acceleration sensor 131 that detects the position can be used with an inexpensive sensor that does not require high-frequency characteristics. There is. The frequency characteristics of the audio sensors 136 and 144 are not limited to the human audible frequency band, and may be wider or narrower than that.

Note that the present invention is not limited to the embodiment described above, and includes various modifications. For example, the above embodiment has been described in detail for easy understanding of the present invention, and is not necessarily limited to the one having all the configurations described. Further, a part of the configuration of an embodiment can be replaced with a part of the configuration of another embodiment, and further, a part or all of the configuration of the other embodiment is added to the configuration of the certain embodiment. Is also possible.

10, 10a X-ray tube failure sign detection device 11 Data processing unit 12 X-ray tube 13, 13a Source sensor unit 14, 14a Noise sensor unit 15 Vibration isolator 16 High voltage device 17 Filament heating device 18 Starter device 19 AC power supply DESCRIPTION OF SYMBOLS 21 Frequency analysis part 22 Detection mode determination part 23 Noise level calculation part 24 Threshold processing part 25 Failure sign detection part 26 Detection time determination part 27 Diagnosis permission input reception part 100 X-ray apparatus 111 Display apparatus 112 Alarm apparatus 113 Central processing unit 114 Operation Input device 115 Recording device 116 Storage device 117 I / O port 120 X-ray tube housing 121 X-ray tube 122 Stator 123 Rotating anode 123a Target material 124 Cathode 131 Acceleration sensor (first vibration sensor, 3-axis acceleration sensor)
132 Temperature sensor 133 Gyro sensor (angle sensor)
134 A / D converter 135 Signal processor 136 Audio sensor (first vibration sensor)
141 Acceleration sensor (first vibration sensor, three-axis acceleration sensor)
142 A / D converter 143 Signal processing unit 144 Audio sensor (first vibration sensor)
161 DC power supply 162 High voltage inverter 163 High voltage transformer 171 DC power supply 172 Filament inverter 173 Filament transformer 181 DC power supply 182 Starter inverter 183 Starter transformer 184 Starter controller 251 Distance calculation unit 252 Minimum value calculation unit 253 Threshold Determination unit 254 switching unit 260 switch 261 frequency analysis temporary result output unit 263 demultiplexer 264 first threshold processing unit 265 first time measurement unit 266 second time measurement unit 267 second threshold processing unit 268 third threshold processing unit 1151 frequency analysis Data 1154 Detection mode determination data 1155 Failure sign detection data 1156 Detection time determination data 1157 Diagnosis permission input acceptance data 2540 Switch 2541 Temporary analysis result Force unit 2542 Diagnosis permission request generation unit 2543 Demultiplexer Sa X-ray tube vibration data Sb Case position data Sc Case temperature data Sd Case angle data Se Noise vibration data Sf Frequency analysis result Sg Detection mode Sh Noise level Si Noise low level Signal Sj Predictive failure signal Sk Diagnosis permission signal Sl Diagnosis permission request signal Sm Genuine tube detection signal Sn Abnormality level So Genuine tube detection signal

Claims (11)

1. A first vibration sensor for measuring vibration generated inside the X-ray tube;
   A second vibration sensor for measuring vibration generated outside the X-ray tube;
   A frequency analysis unit that performs frequency analysis on vibration data of vibrations measured by the first vibration sensor;
   Using the timing at which the vibration level of the vibration measured by the second vibration sensor becomes lower than a predetermined threshold as a trigger, vibration data measured by the first vibration sensor is acquired, and the frequency analysis unit A failure sign detection unit that performs frequency analysis of the vibration data through the frequency analysis and performs failure sign detection based on the frequency analysis result;
   An X-ray tube failure sign detection device comprising:
2. The failure sign detection unit is
   A first vector composed of a plurality of frequency components obtained as a result of the frequency analysis, and a plurality of frequencies obtained as a result of frequency analysis of vibrations generated inside the X-ray tube when the X-ray tube is normal in advance. Calculating a distance to each of one or more second vectors comprising an average of each frequency component;
   2. The X-ray tube according to claim 1, wherein when the minimum distance among the calculated distances is equal to or greater than a predetermined threshold, it is determined that a failure sign of the X-ray tube has been detected. Failure sign detection device.
3. A position sensor for detecting a housing position of a housing to which the X-ray tube is attached;
   An angle sensor for detecting a housing angle representing a posture of the housing to which the X-ray tube is attached;
   A temperature sensor for detecting a housing temperature of a housing to which the X-ray tube is attached;
   Which detection mode belongs to a plurality of detection modes set in advance according to the values of the housing position, the housing angle, and the housing temperature detected by the position sensor, the angle sensor, and the temperature sensor, respectively. A detection mode determination unit for determining;
   Further comprising
   The failure sign detection unit is
   The X-ray tube failure sign detection apparatus according to claim 2, wherein the failure sign detection is performed using the second vector prepared in advance for each detection mode determined by the detection mode determination unit.
4. The time from the timing when the vibration level of the vibration measured by the second vibration sensor becomes lower than a predetermined threshold to the time when the specific frequency component obtained by the frequency analysis unit falls below the predetermined threshold is measured. A first determination unit for determining that the measured time is within a predetermined range;
   A second determination unit that measures a time from when a failure sign is detected by the failure sign detection unit until it is no longer detected, and determines that the measured time is within a predetermined range;
   Further comprising
   The X-ray tube failure sign according to claim 1, wherein it is determined whether or not the X-ray tube is a genuine product based on results of the first determination unit and the second determination unit. Detection device.
5. The X-ray tube failure sign detection apparatus according to claim 1, wherein the vibration sensor is a triaxial acceleration sensor.
6. The X-ray tube failure sign detection apparatus according to claim 1, wherein the vibration sensor is an audio sensor.
7. A first vibration sensor for measuring vibration generated inside the X-ray tube;
   A second vibration sensor for measuring vibration generated outside the X-ray tube;
   A frequency analysis unit that performs frequency analysis on vibration data of vibrations measured by the first vibration sensor;
   X-ray tube failure sign detection device equipped with
   Obtaining a vibration level of vibration measured by the second vibration sensor;
   Using the timing when the acquired vibration level becomes lower than a predetermined threshold as a trigger, vibration data of vibration measured by the first vibration sensor is acquired, and the acquired vibration data is transmitted via the frequency analysis unit. A frequency analysis step;
   Performing failure sign detection based on the frequency analysis result in the frequency analyzing step;
   An X-ray tube failure sign detection method comprising:
8. The X-ray tube failure sign detection device performs the failure sign detection,
   A first vector composed of a plurality of frequency components obtained as a result of the frequency analysis, and a plurality of frequencies obtained as a result of frequency analysis of vibrations generated inside the X-ray tube when the X-ray tube is normal in advance. Calculating a distance to each of one or more second vectors comprising an average of each frequency component;
   8. The X-ray tube according to claim 7, wherein when the minimum distance among the calculated distances is equal to or greater than a predetermined threshold, it is determined that a failure sign of the X-ray tube has been detected. Failure sign detection method.
9. The X-ray tube failure sign detection device is
   A position sensor for detecting a housing position of a housing to which the X-ray tube is attached;
   An angle sensor for detecting a housing angle representing a posture of the housing to which the X-ray tube is attached;
   A temperature sensor for detecting a housing temperature of a housing to which the X-ray tube is attached;
   Which detection mode belongs to a plurality of detection modes set in advance according to the values of the housing position, the housing angle, and the housing temperature detected by the position sensor, the angle sensor, and the temperature sensor, respectively. A detection mode determination unit for determining;
   Further comprising
   In the step of performing the failure sign detection,
   The X-ray tube failure sign detection method according to claim 8, wherein the failure sign detection is performed using the second vector prepared in advance for each detection mode determined by the detection mode determination unit.
10. The X-ray tube failure sign detection device is
    The time from the timing when the vibration level of the vibration measured by the second vibration sensor becomes lower than a predetermined threshold to the time when the specific frequency component obtained by the frequency analysis unit falls below the predetermined threshold is measured. A first determination step for determining that the measured time is within a predetermined range;
    A second determination step of measuring a time from when a failure sign is detected by the step of performing the failure sign detection until no longer detected, and determining that the measured time is within a predetermined range;
    The step of determining whether or not the X-ray tube is a genuine product based on the results of the first determination step and the second determination step is further performed. X-ray tube failure sign detection method.
11. An X-ray apparatus comprising the X-ray tube failure sign detection device according to any one of claims 1 to 6.

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