Author：Haina Machinery Factory FROM：Diaper Machinery Manufacturer TIME：2022-05-06
With the rapid development of modern science and technology, people have a variety of ways to obtain signals. In the acquisition of fault signals of disposable nappies making machine, how to obtain its characteristic signals accurately and in time is the research focus. In the acquisition of the fault signal of the nappy making machine, it is not only necessary to obtain and transmit the corresponding signal with the help of the signal acquisition and transmission device, but also need to effectively process this kind of signal through the analysis technology of information fusion, so as to better realize the accurate diagnosis of the equipment.
In the analysis of the signal spectrum of disposable nappies making machine, the development of information fusion is needed for signal processing. Through transformation, effective analysis can be realized, but it can not analyze the frequency domain and time domain at the same time; However, the wavelet transform in the nappy making machine can analyze the frequency domain and time domain at the same time. It is especially good at analyzing the details of the time and frequency of the fault signal, so as to highlight the local characteristics of the signal, and further realize the acquisition of reliable fault signal.
In the development of disposable nappies making machine, the algorithm can use the control algorithm of artificial intelligence in the fault judgment and decision-making of equipment, such as genetic algorithm and fuzzy control. With the continuous in-depth research, the fault diagnosis association between intelligent control and nappy making machine continues to be deeply studied, and the application of genetic algorithm and fuzzy control in its fault diagnosis will be more effective, This is also the focus of future research. The application of fuzzy theory in mechanical fault diagnosis only needs the establishment of appropriate membership function and fuzzy matrix to obtain the source of the problem accurately, and does not need to consume a lot of time because of the establishment of accurate mathematical model
3. Network integration is conducive to the development of fault diagnosis and monitoring of disposable nappies making machine
Under the background of the continuous development of resources in the times, LAN has a significant technical position in the technical field of industrial control, and LAN technology also plays an important role in the collection and analysis of information. Therefore, in the production of lesbian pants, the fault diagnosis and monitoring of disposable nappies making machine need to be effectively combined with network means. In the fault diagnosis of equipment, the signal detection equipment can be connected with the computer through the local area network. With the help of the equipment, the original information data can be received, summarized and analyzed. Through the powerful calculation function of the computer, the fault diagnosis and analysis can be realized more quickly and accurately, so as to provide guarantee for the stable operation of the equipment.
For fault-tolerant control, the main reason is that when the disposable nappies making machine fails, the system can automatically eliminate the failure and rebuild the system. Even if the system fails, the system can still operate stably, and its operation performance can still meet the requirements despite some decline. In the system fault-tolerant control, the method of function expansion design is the premise. For example, in the design of equipment, there is a self compensation structure in the system, that is, the equipment components can realize self reconstruction, or the parameters of the equipment can be self adjusted during operation, so as to provide guarantee for the stable and safe operation of the equipment.
The development of fault diagnosis and monitoring of disposable nappies making machine is the main trend of the development of pants production automation. Therefore, in its development, it is necessary to continuously improve and optimize the self fault processing ability in the automatic control system of the equipment.