Simultaneous multiparameter measurement in pulsed eddy current steam generator data using artificial neural networks

JA Buck, PR Underhill, JE Morelli… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In-service inspection of complex systems such as nuclear steam generator (SG) tubes and
their surrounding support structures is challenged by overlapping degradation modes. In …

Development of Laguerre neural-network-based intelligent sensors for wireless sensor networks

JC Patra, PK Meher… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
The node of a wireless sensor network (WSN), which contains a sensor module with one or
more physical sensors, may be exposed to widely varying environmental conditions, eg …

Global evaluation of WBGT and SET indices for outdoor environments using thermal imaging and artificial neural networks

AO Mahgoub, S Gowid, S Ghani - Sustainable Cities and Society, 2020 - Elsevier
The health and well-being of occupants of outdoor environments are largely affected by
thermal stress, and therefore a global assessment is essential. Wet-bulb globe-temperature …

A decoupling calculation method of separating temperature component from the nano-scale metal film thickness measurement output by the eddy current sensor

J Wang, H Li, T Zhang, Z Li - Measurement Science and …, 2024 - iopscience.iop.org
The eddy current method has been widely applied in the field of nano-scale metal film
thickness detection. The output signal of an eddy current sensor is generally tiny in practice …

Neural-network-based robust linearization and compensation technique for sensors under nonlinear environmental influences

JC Patra, G Chakraborty… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
A novel artificial neural network (NN)-based technique is proposed for enabling smart
sensors to operate in harsh environments. The NN-based sensor model automatically …

Development of thermistor signal conditioning circuit using artificial neural networks

V Naveen Kumar… - IET Science …, 2015 - Wiley Online Library
Thermistor is most widely used sensor in the temperature measurement due to its high
sensitivity and fast response. The non‐linearity of the thermistor gives rise to several …

Simultaneous temperature compensation and synchronous error elimination for axial displacement sensors using an auxiliary probe

S Zheng, Y Wang, H Ren - IEEE Transactions on Industrial …, 2015 - ieeexplore.ieee.org
The output stability of the displacement sensors is an important issue for safe operations in
magnetic bearing supported high-speed rotor system. This paper proposes an effective …

Eddy-current displacement transducer with extended linear range and automatic tuning

D Vyroubal - IEEE Transactions on Instrumentation and …, 2009 - ieeexplore.ieee.org
Design details and measurement results of the eddy-current displacement transducer with
extended linear range and automatic tuning are presented. The transducer is based on a …

Development of an ANN-based pressure transducer

VN Kumar, KVL Narayana - IEEE Sensors Journal, 2015 - ieeexplore.ieee.org
This paper presents the development of an artificial neural network (ANN)-based improved
inductive signal conditioning circuit for pressure transducer with bellow as sensor. A bellow …

Analog neural network implementation for a real-time surface classification application

L Gatet, H Tap-Beteille, M Lescure - IEEE Sensors Journal, 2008 - ieeexplore.ieee.org
This paper deals with the implementation of a CMOS analog neural network (NN) that has to
be integrated in a new kind of optoelectronic measurement system. The aim is to achieve …