JPH04113051U - Machine failure diagnosis device - Google Patents

Abstract

(57) [Summary] Machine failure diagnosis device [Purpose] A machine that can diagnose a failure even if there is no data to determine that it is a failure, and can detect machine failure regardless of whether it is a mass production method or a small volume production method. Automatically diagnose. [Structure] This is a device that diagnoses machine failures based on detecting electrically detectable physical phenomena such as sound, vibration, and heat generated by machine operation. Physical phenomena at two detection positions of the machine are detected by sensors 16, respectively. Based on the detection signal of the sensor 16, the calculation means 22 calculates the deviation between the detection values at the two detection positions. When the deviation value obtained by the calculation means 22 exceeds a preset value, the determination means 23 determines that there is a failure.

Description

[Detailed explanation of the idea]

0001

[Industrial application field]

This invention is a failure diagnosis device for machines such as presses, especially when the machine is operated. Based on detecting electrically detectable physical phenomena such as sound, vibration, and heat that occur The present invention relates to a device for diagnosing machine failures.

0002

[Conventional technology]

Conventionally, the devices described above have been put into practical use only for mass production machines. It was limited to those who In mass production machines, there is a This is because a large amount of data can be stored.

0003

[Problem that the idea aims to solve]

Even if you try to apply the above device to a machine that produces a wide variety of products in small quantities, it will fail. It is difficult to accumulate enough data to determine that the data is unreliable. However, it was difficult to put it into practical use.

0004 The purpose of this invention is to make it possible for machines to Our objective is to provide a machine fault diagnosis device that can automatically diagnose faults. .

[0005]

[Means to solve the problem]

The machine failure diagnosis device based on this invention can detect noise and vibration generated by machine operation. Diagnosing machine failures based on detecting electrically detectable physical phenomena such as heat A device that detects a physical phenomenon at two detection positions of a machine, and Based on the sensor detection signal, calculate the deviation between the detected values at the two detection positions. The deviation value obtained by the calculation means is set to a preset value. It consists of a determining means that determines that there is a failure when the limit is exceeded.

[0006]

[Effect]

In the machine failure diagnosis device based on this invention, both of the two detection positions are normal. , the deviation between the detection values at the two detection positions is small, and the deviation between the detection values at the two detection positions is small. If a failure occurs, the deviation between the detected values at the two detection positions will become large. Therefore, the set value can be set in response to a failure occurring at either of the two detection positions. If this is done, the occurrence of a failure at either of the two detection positions will be reliably detected.

[0007]

【Example】

For an example of applying this idea to a press machine, please refer to the drawings. I will explain next.

[0008] FIG. 1 shows part of the crown of a press machine.

[0009] The press frame in the crown is provided with symmetrical bearings 11. . A crankshaft 12 is coaxial with both bearings 11 and has both ends protruding from the bearing 11. It is supported so that it can be used. A drive gear 13 is attached to the outwardly projecting ends of both crankshafts 12. Each is provided. Eccentric wheels 14 are provided at the inwardly protruding ends of both crankshafts 12. Ru. The eccentric wheels 14 of both crankshafts 12 have a connector whose small end is connected to a slide (not shown). The large end of the cutting rod 15 is fitted. Both bearings 11 are provided with temperature settings. 16 sensors are provided for each.

0010 When the press machine is in steady operation, the temperature of both bearings 11 is equal to the rotation of the crankshaft 12. It varies depending on the rotation speed, load, outside temperature, and time elapsed since the start of operation, but the The method of conversion is almost the same for both bearings 11.

[0011] However, when a failure occurs in either of the bearings 11, it is usually the case that the failure occurs. The temperature of one bearing 11 becomes higher than the temperature of the other bearing 11.

0012 Next, referring to Figure 2, we will explain the steps to diagnose a failure when a failure occurs. Explain the steps.

[0013] The temperatures of both bearings 11 are detected by sensors 16 (step 21). next, The difference in temperature detected by both sensors 16 is calculated (step 22). And the calculation As a result, the obtained temperature difference △t and the preset value, in this case 2℃. are compared (step 23), and if the obtained temperature difference △t is 2°C or less, it is normal. If the temperature exceeds 2°C, it is diagnosed as a failure (step 24). 25). If a fault is diagnosed, an alarm (step 26) is signaled and The machine is stopped (step 27).

[0014] In the above, the number of detection positions of the sensor is two, but it may be three or more. Of course. In this case, the difference between the detected values at each of three or more detection positions is The maximum deviation value is determined, and based on this maximum deviation value, it is determined whether there is a failure or not. That's fine.

[0015]

[Effect of the idea]

According to this invention, the set value can be changed when a failure occurs at either of the two detection positions. If you configure the settings accordingly, you can be sure that a failure has occurred at one of the two detection positions. Since it is detected, it can be diagnosed as a malfunction even if there is no data to determine that it is a malfunction. Therefore, it does not matter whether the production method is mass production or small production. Machine failures can be automatically diagnosed.

[Brief explanation of drawings]

FIG. 1 is a schematic sectional view of the crown of a press machine to which this invented device is applied.

FIG. 2 is a flowchart for diagnosing a failure.

[Explanation of symbols]

11 sensor 22 Calculation means 23 Judgment means

Claims (1)

[Scope of utility model registration request] Claim 1: A device for diagnosing machine failures based on detecting electrically detectable physical phenomena such as sound, vibration, and heat generated by machine operation, the device having two detection positions on the machine. Sensors 16 each detecting physical phenomena;
Based on the 16 detection signals, the calculation means 22 calculates the deviation between the detection values of the two detection positions, and when the deviation value calculated by the calculation means 22 exceeds a preset setting value, A device for diagnosing a machine failure, comprising: determining means 23 for determining a failure.