Wireless sensor networks (WSNs) consist of a large number of sensor nodes which are capable of sensing different environmental phenomena and sending the collected data to the base station or Sink. Since sensor nodes are made of cheap components and are deployed in remote and uncontrolled environments, they are prone to failure; thus, maintaining a network with its proper functions even when und...

A systematic experiment verification of Chaos Embedded Sliding Mode Extremum Seeking Control for maximum power point tracking and a method for detecting possible faults in small wind turbine systems in advance are proposed in this paper. The chaotic logistic map is used to replace the random function in the particle swarm optimization algorithm for faster searching the optimal control parameter...

In this paper, the fuzzy system has been used for fault detection and diagnosis of a yeast fermentation bioreactor based on measurements corrupted by noise. In one case, parameters of membership functions are selected in a conventional manner. In another case, using certainty factors between normal and faulty conditions the optimal values of these parameters have been obtained through the g...

Pulse singularities with variable amplitudes appear in the corresponding positions of ignition coil primary current waveform when insulation fault occurs during the ignition process. We propose an algorithm to detect the singularities in ignition coil primary current signal. First calculate the multiscale continuous wavelet transform of the fault signal. Then pursue modulus maxima from the coar...

The prototype ferredoxin maquette, FdM, is a 16-amino acid peptide which efficiently incorporates a single [4Fe-4S]2+/+ cluster with spectroscopic and electrochemical properties that are typical of natural bacterial ferredoxins. Using this synthetic protein scaffold, we have investigated the role of the nonliganding amino acids in the assembly of the iron-sulfur cluster. In a stepwise fashion, ...

This paper presents a parametric low differential order model, suitable for mathematically analysis for Induction Machines with faulty stator. An adaptive Kalman filter is proposed for recursively estimating the states and parameters of continuous–time model with discrete measurements for fault detection ends. Typical motor faults as interturn short circuit and increased winding resistance ...

This paper uses the Kohonen Self-Organising Map (KSOM) to detect, diagnose, and classify induction motor faults. A series of simulations using models 3-phase based on real industrial parameters were performed MATLAB/Simulink under fault conditions such as inter-turn, power frequency variation, over-voltage unbalance in supply voltage. The model was trained input signals various conditions. Vari...

Refrigerant mass flow rate is an important measurement for monitoring equipment performance and enabling fault detection and diagnostics. However, a traditional mass flow meter is expensive to purchase and install. A virtual refrigerant mass flow sensor (VRMF) uses a mathematical model to estimate flow rate using low-cost measurements and can potentially be implemented at low cost. This study e...

A representative frequency dependent model (FDM) of an HVDC cable is important in ensuring systems are designed harmoniously. the proposed and very long, 4200 km, AAPowerLink cables implemented PSCAD/EMTDC. The suitability approximations required for efficient simulation evaluated according to anticipated specifications. In practice, a submarine this length has between 40 80 field joints (FJ), ...