Condition monitoring and diagnosis systems capable of identifying machining system defects and tiieir location are essential for unmanned machining Unattended (or minimally manned) machining would result in increased capital equipment utilization, thus substantially reducing the manufacturing costs. A review of tool monitoring systems and techniques and their components and the Multiple Princip...

-This paper provides a comprehensive survey on the state-of-the-art condition monitoring and fault diagnostic technologies for wind turbines. The Part I of this survey briefly reviews the existing literature surveys on the subject, discusses the common failure modes in the major wind turbine components and subsystems, briefly reviews the condition monitoring and fault diagnostic techniques for ...

modeling is one of the most interesting areas in various fields of science. unfortunately data quality, which has an important role in the modeling, is not considered. in fact, most often processes encounter disturbances which results in the collection of abnormal data and may lead to a model different from the real behavior of the process. on the other hand, most of real industrial processes a...

Instruments based on airborne/structure borne ultrasound technology offer many opportunities for reducing energy waste and improving asset availability in plants. They expand the concept of ”Condition Monitoring” to include much more than basic mechanical fault inspections. Since these instruments detect friction, ionization and turbulence, their inspection capabilities range from trending bear...

Condition monitoring of induction motors is a fast emerging technology in the field of electrical equipment maintenance and has attracted more and more attention worldwide as the number of unexpected failure of a critical system can be avoided. Keeping this in mind a bearing fault detection scheme of three-phase inductionmotor has been attempted. In the present study, Support VectorMachine (SVM...

Condition monitoring techniques are described in this chapter. Two aspects of condition monitoring process are considered: (1) feature extraction; and (2) condition classification. Feature extraction methods described and implemented are fractals, Kurtosis and Melfrequency Cepstral Coefficients. Classification methods described and implemented are support vector machines (SVM), hidden Markov mo...