Study of condition monitoring of bridges using genetic algorithms. Condition monitoring and assessment of power transformers using computational intelligence applies a broad range of computational intelligence techniques to deal with practical problems of transformer cma. Section 5 presents a discussion on the application situations. Ci computational intelligence dai distributed arti. By definition, condition monitoring is performed when it is necessary to access the state of a machine and to determine whether it is malfunctioning through reason and observation william et al. Transformers are the most critical assets of electrical transmission and distribution system. Condition assessment of power transformers status based on. Computational intelligence for condition monitoring. Accurate estimation of state of charge and state of health is achieved at low computational cost. Genetic algorithm ga, one of the computational intelligence methods, employs a highly parallel, massive, and adaptive computational environment to accomplish the mathematically difficult tasks in the structural condition monitoring.
In this thesis, artificial intelligence ai techniques are used to build a condition monitoring system that has incremental learning capabilities. The application of computational intelligence techniques 11 and available advanced telecommunication technology provided the capability to monitor what is happening inside the transformer and to. Transfer learning using computational intelligence. This presentation will focus on several methods of developing close to optimal architectures and on finding efficient learning algorithms.
Finally, the predictive maintenance methods using computational intelligence techniques are very important for improving production and manufacturing and product quality. These are the finite element models, correlation based methods and computational intelligence. Condition monitoring using computational intelligence methods promotes the various approaches gathered under the umbrella of computational intelligence to show how condition monitoring can be used to avoid equipment failures and lengthen its useful life, minimize downtime and reduce maintenance. There are numerous practical applications of computational intelligence techniques in modelling, control, automation, prediction, image processing and data mining. Although computational intelligence and soft computing are established fields, the new applications of using computational intelligence and soft computing can be regarded as an emerging field, better alternativeto traditional hard computing scenario. An idea of prototyping these methods has triggered in using micro electro mechanical system mems sensor for data acquisition and real time condition monitoring. What is computational intelligence and what could it become. Computational intelligence methods can be used in conjunction with the abovementioned methods for bushing condition monitoring. A back propagation neural network was compared with a support vector machine classifier. A long section presenting various applications not only illustrates the usefulness of some methods, but also provides a gauge to evaluate progress in this field. The vibration monitoring methods and signal processing techniques for structural health monitoring.
The diagnostic gases in the bushings are analyzed using the dissolve gas analysis. This paper presents an empirical study of feature extraction methods for the application of lowspeed slew bearing condition monitoring. Condition monitoring using computational intelligence methods promotes. Methods of computational intelligence auburn university. The incremental learning and multiagent system approach christina busisiwe vilakazi. This textbook provides a clear and logical introduction to the field, covering the fundamental concepts, algorithms and practical implementations behind efforts to develop systems that exhibit intelligent behavior in complex environments. The gentlemans udrls is attractive to embedded applications due to its parallel implementation and the resultant fast computational speed. If the faulty condition in a system can be determined with the detection, the diagnosis, or the prognosis in early stage, most problems can be repaired at this time. Moreover, the goal of the study is to find methods and techniques for the condition assessment of power transformers status based on the state of moisture in. In the next two sections, types of propositional logical. Computational intelligence in emerging technologies for.
Though, there is good understanding of the importance healthcare systems by various authors, their focus was limited to a single aspect of the whole system and without integrated the analysis and decision. Researchers studying computational intelligence and its applications will find condition monitoring using computational intelligence methods to be an excellent source of examples. Feature extraction and diagnosis system using virtual. It brings together many different aspects of the current research on intelligence technologies. The search and selection of these articles were performed according to the following five steps. Lis3dh accelerometer sensor is used for the data acquisition of spindle for capturing high frequency fault signals. The literature study of existing research, related to feature extraction methods or. The text introduces various signalprocessing and preprocessing techniques, wavelets and principal component analysis, for example, together with their uses in condition monitoring and details. Condition monitoring has a number of important benefits such as. Methods in predictive techniques for mental health status on.
Acoustic emission signal analysis and artificial intelligence. Pdf condition monitoring techniques are described in this chapter. The rlsbased methods can be improved by using the forgetting factor. Ebook condition monitoring using computational intelligence. Request pdf condition monitoring using computational intelligence methods. Using the nslkdd dataset, detection rates achieved by the two techniques for six cyber attacks were recorded. Study of condition monitoring of bridges using genetic. Applications in mechanical and electrical systems condition monitoring using.
Machine condition monitoring using artificial intelligence. With the investigation of fault diagnosis system based on the virtual instrument technol. Condition monitoring using computational intelligence. A new approach for condition monitoring and detection of. Tshilidzi marwala born 28 july 1971 is a south african mechanical engineer and computer scientist. Pdf introduction to condition monitoring in mechanical and electrical systems. Conventional methods of fault diagnosis and condition monitoring are based on welltested mathematical models incorporating various machine faults. Condition monitoring of bearing faults using the stator. Pdf artificial intelligence application in machine condition.
A brief survey of the scope of ci journals and books with computational intelligence in their title shows that at present it is an umbrella for three core technologies neural, fuzzy and evolutionary, their appli. A modelbased monitoring algorithm is proposed to estimate model parameters and state of charge for lithiumion batteries. In this work, we investigated two computational intelligence techniques for wsn intrusion detection. What is computational intelligence ci and what are its relations with arti. Ebook condition monitoring using computational intelligence methods. Condition monitoring of transformers is the process of acquisition and processing of data related to various parameters of transformers so as to predict and prevent the failure of a transformer.
Condition monitoring approaches have produced considerable savings by reducing unplanned outage of machinery, reducing downtime for repair and improving reliability and safety. A recently developed method is by using artificial intelligence techniques as tools for routine maintenance. The aim of the study is to find the proper features that represent the degradation condition of slew bearing rotating at very low speed. The use of the stator current to monitor induction motors has been validated as a very advantageous and practical way to detect several types of faults. An idea of prototyping these methods has triggered in using micro electro. Wilamowski, fellow member, ieee auburn university, usa abstract comparison of various methods of computational intelligence are presented and illustrated with exampies.
Artificial intelligence ai is a successful method of machine condition monitoring and fault diagnosis since these techniques are used as tools for routine. Condition monitoring using computational intelligence methods promotes the various approaches gathered under the umbrella of computational intelligence to show how condition monitoring can be used to avoid equipment failures and lengthen its useful life, minimize downtime and reduce maintenance costs. Tool condition monitoring using artificial intelligence methods. To comply with this requirements, condition monitoring and diagnosis of machinery have become established industry tools 3. Computational intelligence methods for rulebased data. Comprehensive overview on computational intelligence. Classification methods described and implemented are support. The platform utilizes tool set for rapid prototyping of intelligent condition monitoring systems and advanced computational intelligence methods for novelty. Condition monitoring using computational intelligence methods tshilidzi marwalacondition monitoring using computati. Graduate students studying condition monitoring and diagnosis will find this alternative approach to the problem of interest and practitioners involved in fault.
This is done by observing the deviation of the transformer parameters from their expected values. The problem becomes even more complex if the methods of computational intelligence have to be implemented in hardware. Sensor based intelligent systems for detection and diagnosis. Applications in mechanical and electrical systems at. A new approach for condition monitoring and detection of rail.
He became professor at the university of the witwatersrand in 2003 and also chairperson of system and control engineering in south africa. This paper describes an application of three artificial intelligence ai methods to estimate tool wear in lathe turning. Methods in predictive techniques for mental health status. Section 6 describes challenges and prospects in this area. These methods include neural networks, fuzzy systems, and evolutionary computation. Ambient intelligence healthcare monitoring management. Two aspects of condition monitoring process are considered. Pdf computational intelligence for condition monitoring. Computational intelligence, neural networks, fuzzy systems. Methods of computational intelligence for nonlinear.
The text introduces various signalprocessing and preprocessing techniques. Condition monitoring can also be defined as a technique or process of monitoring the operating characteristics of a machine so that changes and. Computational intelligence is one of the most powerful data processing tools to solve complex nonlinear problems, and thus plays a significant role in intelligent fault diagnosis and prediction. Pdf online condition monitoring using computational.
Mlp gives superior performance in terms of accuracy and training time than svm and rbf. Research and development work in the area of computational intelligence is. The advent of artificial intelligence has changed many disciplines such as engineering, social science and economics. The modelbased monitoring algorithm is validated by simulation and experiments. Economic modeling using artificial intelligence methods. The third is a new artificial neural network basedfuzzy inference system with moving consequents in ifthen rules. The book is intended for use in graduate courses on applied computation, applied mathematics, and engineering, where tools like computational intelligence and numerical methods are applied to the solution of realworld problems in emerging areas of engineering. This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. Nevertheless, for bearing faults, the use of vibrations or sound generally offers better results in the accuracy of the detection, although with some disadvantages related to the sensors used. Type 3 articles on related computational intelligence techniques. The first two are conventional ai methodsthe feed forward back propagation neural network and the fuzzy decision support system.
Machine condition monitoring using artificial intelligence core. Many computational intelligences and statistical techniques have been proposed to develop a forecasting model to predict the future condition of a transformer in transmission system using dg analysis. Dl methods 12, the rnn scheme for machine health monitoring. Computer visionbased tracking and fault detection methods are increasingly growing method for use on railway systems. Various systems are used to monitor the condition of patients with chronic disease.
Modelbased condition monitoring for lithiumion batteries. The emphasis in using the genetic algorithm for feature selection is to reduce the\ud computational load on the training system while still allowing near optimal results to be found\ud relatively quickly. A methodological introduction texts in computer science currently unavailable. Artificial intelligence is a computational technique which is inspired by natural intelligence such as the swarming of birds, the working of the brain and the pathfinding of the ants. Modelbased condition monitoring for lithiumion batteries taesic kima, yebin wangb, huazhen fangc, zafer sahinoglub, toshihiro wadad, satoshi harad, wei qiaoe adepartment of computer science and computer engineering, university of nebraskalincoln, lincoln, ne. Feb 06, 2016 pdf download faultdiagnosis applications. Condition monitoring uses the observed operating characteristics of a machine or structure. Computational intelligence data analysis for decision. The estimation algorithm with a small forgetting factor may track time.
The generalized condition monitoring framework which includes the data acquisition device, data analysis device, feature selection device and decisionmaking device is also presented. In addition, an online bushing condition monitoring approach, which is able to adapt to newly acquired data are introduced. Online condition monitoring using computational intelligence. In addition to economic modeling using artificial intelligence methods, he has previously published 3 books with springer. Pdf the vibration monitoring methods and signal processing. Techniques for using these decisionmaking devices are introduced. Generally, heavy and timeconsuming computational tasks must be performed due to the complexity of the applied analytical models and the large number of required parameters 2. In this study, methods are proposed for fault detection. These methods make detection of components of the railways and fault detection and condition monitoring process can be performed using data obtained by means of computers. Condition monitoring using computational intelligence methods. In this study, moisture level in oil is estimated and its status classification is proposed by using fuzzy logic techniques for the power transformer monitoring and condition assessment. Condition monitoring using computational intelligence methods 2012, militarized conflict modeling using computational intelligence techniques 2011. Regarding the researches we can say two type of ehealth systems use mobile devices for chronic diseases management, agent.
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