To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …

In recent years, with the development of wind energy, the number and scale of wind farms
have been developing rapidly. Since offshore wind farms have the advantages of stable …

Reliability improvement of wind turbine power generation is the key issue that can turn the
wind power into one of the main power sources to respond to the world power demands …

This paper introduces a new condition monitoring approach for extracting fault signatures in
wind turbine blades by utilizing the data from a real-time Supervisory Control and Data …

Wind energy has the biggest market share of renewable energy around the world. High
growth and development rates of wind energy lead to a massive increase in complexity and …

Ships and other large equipment must meet strict standards for equipment integrity and
operational dependability in order to perform missions. To meet this demand, one of the …

Automobiles are required in everyday life to commute from destination to other. But, due to
faulty road conditions, heavy traffic and lack of adequate driver skills, crash incidents …

Reliable fault detection systems in industrial processes provide pertinent information for
improving the safety and process reliability and reducing manpower costs. Here, we present …

This paper is concerned with the fault detection problem for a class of networked fuzzy
systems with multiplicative noises on both system states and measurement outputs. In view …

Industrial wind turbines are large constructions that require in-field monitoring. In this paper,
short-range Doppler radar signatures of wind turbines are both mathematically analyzed …