Electrical detection of digital signals

[Abstract]: This paper describes the electrical equipment testing and fault diagnosis system composition, and the current signal processing technology in the detection of electrical equipment status, on the basis of the electrical equipment inspection technology development side, summed up the signal Electrical detection of digital technology in the role. I hope this study will test technology for the electrical equipment of the Research to provide reference data.


[Keywords]: Electrical equipment, signal processing, digital signal

Suizhao cause of the continuous development of industrial enterprises, more and more electrical equipment has been widely used. The same problems brought to us is that in today's large-scale application of electrical equipment, electrical equipment, detection and fault diagnosis is particularly significant important. How fast and effective testing of electrical equipment in a timely manner, written by our problems to be solved.

First, the electrical equipment testing and fault diagnosis system components
Detection and fault diagnosis of electrical equipment, including the following basic process: signal detection, data acquisition, data processing, diagnostics. Basic process is as follows: through a variety of sensors (such as light, electricity, temperature, vibration, flow, chemistry, signal detection device status and it can be transmitted, conversion, acquisition, processing. and then collected by the data acquisition unit and stored in memory. delivery vector can be a cable or fiber optic cable, in order to improve anti-jamming capability of its, the use of fiber optic cable or digital signal transmission. data collection can be used in three ways: acquisition signal waveform, the peak signal acquisition or record peak over threshold pulses. for data processing, mainly for interference suppression, retain or enhance the useful signals, extracted signal characteristics. based on the characteristics of signals obtained, using a variety of diagnostic methods, such as fuzzy logic, artificial neural networks, expert systems, diagnostic results obtained.

Second, the signal processing technology in the detection of electrical equipment
Through signal processing, to suppress interference, to retain or increase the useful signal, the signal feature extraction and gain associated with the failure to sign, the use of signs for fault diagnosis. Time-domain analysis, fast Fourier transform frequency domain analysis, wavelet analysis, wavelet packet analysis and other signal processing technology for the extraction of electrical equipment testing and diagnosis has provided preconditions.

Multi-resolution wavelet transform nature, based on signal and random noise in the wavelet transform modulus maxima domain coefficients of different characteristics, extract the signal and noise in multi-scale spatial resolution in the waveform characteristics, and according to characterize the features of the wavelet coefficients modulus maxima of the different propagation characteristics, to achieve the effective detection of the signal waveform. wavelet analysis can accurately reflect the failure occurred at a time, location and other information, and to enable effective real-time electrical equipment condition monitoring and fault diagnosis.

Third, the electrical equipment inspection side of the direction of technology development
1, Electrical equipment of information fusion technology
Introduced in the testing of electrical equipment and digital multi-sensor information fusion technology can expand the first source of information channels, followed by information processing can improve quality, improve diagnostic accuracy for the operational status of the equipment have an overall and comprehensive understanding . This technology of the biggest advantages is the ability to improve the measurement of anti-jamming capability, because different sensors with different sensitivity to interference reflection, although some sensors may exist in the relatively strong interference signals, but when the other does not reflect on the electromagnetic interference sensitive sensor information fusion, you can eliminate the interference signal which contains components. reposted elsewhere in the Research Papers Download http://www.hi138.com 2, signal technology based on virtual instrument technology is the current testing and control technology Research areas of focus, which is based on computer and web-based software as the core of natural science information on testing, analysis, storage, transmission and control system. Through virtual technology, the system's interface is more lifelike, and has good visual and interactive, you can understand the performance of the electrical system of the state.

3, remote electrical signal detection and tracking network technology with distributed computing, large database technology, object-oriented software technology and broadband digital communication technology, rapid development of Internet-based fault detection of electrical equipment will become a reality, the device diagnostics technology and computer network technology, data acquisition equipment status, equipment failure to achieve early diagnosis and timely maintenance. remote monitoring and diagnosis can be achieved nationwide diagnostic knowledge and data sharing, remote collaboration diagnosed as a bridge to the Internet, will reduce the time and space and diagnosis of electrical equipment from the experts.

4, digital signals based on artificial intelligence to detect the so-called artificial intelligence systems development based on computer modeling to replace the way people think one way to solve the problem. Expert system computer program is actually a system of artificial intelligence, and management by bringing together different the many sources of expert knowledge, with the imitation of a human expert reasoning to solve a computer model of some complex real life important issues, and the current expert system is the lack of effective diagnostic knowledge representation, uncertainty reasoning and knowledge acquisition of knowledge difficulties, the rise of neural networks has opened up a new way, which is formed by the large number of processing units interconnected network of nerves in modern biology and cognitive science Research on human information processing based on the results presented, with very strong adaptive ability, learning ability, parallel capacity, fault tolerance and robustness, which can replace the complex and time-consuming traditional algorithm, the signal processing closer to the human mind, condition monitoring and fault diagnosis often vague nature language to describe the characteristics of the state, in order to accurately and effectively determine the sign of a fuzzy state, the concept of fuzzy sets must belong to a state as to whether the reasons described, in particular, some signs and the state can not be determined between the mathematical model complex mechanical system, only to get the system state in the combined effect of the accumulation of maintenance experience and expertise focused on the premise, the method of fuzzy condition monitoring.

5, open electrical signals digital fault diagnosis system of open electrical signals digital fault diagnosis system is a network connection for remote fault diagnosis system with the traditional fault diagnosis system is essentially different. The traditional fault diagnosis system of the database is closed or semi- closed, its structure and enter the designer needs to modify, and remote fault diagnosis system for Web-based knowledge database must be open architecture, designers need to complete the framework of a simple system, the knowledge base is filled with system maintenance and use of the process of continuous enrichment, so that the whole system flexibility and scalability.

6, based on the number of life-cycle cost management of the implementation status of the ultimate goal of testing is to improve economic efficiency and reduce production costs, when the operation of electrical equipment to a certain number of years, equipment maintenance costs may be higher than the cost to re-configure the device, which state detection is contrary to the original intention. And based on equipment life cycle cost management is the entire life cycle of equipment within the total cost for the evaluation index, according to testing than just diagnosis, life prediction, reliability analysis for condition-based maintenance is more co-Jin , more in line with the objectives pursued, the state of repair based on this approach should also be considered in this decision-making maintenance and repair of equipment of this long-term operating efficiency and costs, to make more realistic maintenance, update measures.

Electrical equipment for the above inspection of the direction of technology development side, we can further clarify the digital signal is applied to all areas of electrical testing. In so many ways, the digital electrical signal detection is the future direction of development. We should in theory and practice Electrical equipment and further promote the continuous development of technology, providing good technical support. reposted elsewhere in the Research Papers Download http://www.hi138.com