For improving available and reusable of knowledge in fish disease diagnosis (FDD) domain and facilitating knowledge acquisition, an ontology model of FDD knowledge was developed based on owl according to FDD knowledge model. It includes terminology of terms in FDD knowledge and hierarchies of their class.

Unmanned helicopters (UHs) develop quickly because of their ability to hover and low speed flight. Facing different work conditions, UHs require the ability to safely operate under both external environment constraints, such as obstacles, and their own dynamic limits, especially after faults occurrence. To guarantee the postfault UH system safety and maximum ability, a self‐healing control (SHC...

Fault prediction is a new research area in FDD. It has both safety and economic benefits in technical systems by preventing future serious process fault and improving process maintenance schedules. But how to calculate the probability of fault prediction is still an open problem. This paper proposes a particle filtering (PF) based method to predict the future state’s distribution of nonlinear s...

in this paper, a fault diagnosis system based on discrete wavelet transform (dwt) and artificial neural networks (anns) is designed to diagnose different types of fault in gears. dwt is an advanced signal-processing technique for fault detection and identification. five features of wavelet transform rms, crest factor, kurtosis, standard deviation and skewness of discrete wavelet coefficients of...

Recently, a decoupling-based (DB) fault detection and diagnosis (FDD) method was developed for diagnosing multiple-simultaneous faults in air conditioners (AC) and was shown to have very good performance. The method relies on identifying diagnostic features that are decoupled (i.e., insensitive) to other faults and operating conditions. The current paper extends the DB FDD methodology to heat p...

Vibration analysis is widely used as an efficient condition monitoring (CM) tool for rotating machines in various industries. Fault detection and diagnosis (FDD) models play important role the development of any CM system. The use artificial intelligence (AI) has since gained recognition fault systems. In this paper, a combination principal component (PCA) which reducing data dimensionality, su...

Commissioning ensures buildings deliver the performance and energy savings promised by their design. Ongoing commissioning aims to fully automate the commissioning process, providing periodic or even continuous monitoring, identification and possibly remedial actions ensuring persistence in intended operation and performance . One of the major research areas inongoing commissioning at the momen...

this paper presents a method for diagnosis of eccentricity fault in a switched-reluctance motor (srm) during offline and standstill modes. in this method, the fault signature is differential induced voltage (div) achieved by injecting diagnostic pulses to the motor windings. it will be demonstrated by means of results that there is a correlation between differential induced voltage and eccentri...