Intracranial Pressure Signal Processing by Adaptive Fuzzy Network

This paper presents an analysis of data taken from several stall initiation events on a GE LM-2500 gas turbine engine. Specifically, the time series of three separate pressure signals located at compressor stages 3, 6, and 15 were analyzed utilizing various signal processing methods to determine the most reliable indicator of incipient stall for this engine. The spectral analyses performed showed that rotating precursor waves traveling around the annulus at approximately half of the rotor speed were the best indicators. Non-linear chaotic time series analyses were also used to predict stall, but it was not as reliable an indicator. Several algorithms were used and it was determined that stall wave perturbations can be reliably identified about 900 revolutions prior to the stall. This work indicates that a single pressure signal located at stage 3 on an LM-2500 gas turbine is sufficient to provide advance warning of more than 2 seconds prior to the fully developed stall event.

Download Full-text

A Multiscale Intracranial Pressure Signal Simulator

2018 Computing in Cardiology Conference (CinC) ◽

10.22489/cinc.2018.010 ◽

2018 ◽

Author(s):

Federico Wadehn ◽

David-Jule Mack ◽

Emanuela Keller ◽

Thomas Heldt

Keyword(s):

Intracranial Pressure ◽

Pressure Signal ◽

Signal Simulator

Download Full-text

An effective arterial blood pressure signal processing system based on EEMD method

Technical Papers of 2014 International Symposium on VLSI Design, Automation and Test ◽

10.1109/vlsi-dat.2014.6834884 ◽

2014 ◽

Cited By ~ 1

Author(s):

Shang-Yi Chuang ◽

Jia-Ju Liao ◽

Chia-Ching Chou ◽

Chia-Chi Chang ◽

Wai-Chi Fang

Keyword(s):

Blood Pressure ◽

Signal Processing ◽

Arterial Blood Pressure ◽

Processing System ◽

Signal Processing System ◽

Pressure Signal ◽

Arterial Blood ◽

Eemd Method

Download Full-text

Adaptive fuzzy-network-based C-measure map-matching algorithm for car navigation system

IEEE Transactions on Industrial Electronics ◽

10.1109/41.915423 ◽

2001 ◽

Vol 48 (2) ◽

pp. 432-441 ◽

Cited By ~ 71

Author(s):

Sinn Kim ◽

Jong-Hwan Kim

Keyword(s):

Navigation System ◽

Map Matching ◽

Matching Algorithm ◽

Adaptive Fuzzy ◽

Fuzzy Network ◽

Car Navigation System ◽

Car Navigation

Download Full-text

A Monolithic Integrated Pressure Sensor

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.503.8 ◽

2012 ◽

Vol 503 ◽

pp. 8-11

Author(s):

Zheng Yuan Zhang ◽

Cao Yang ◽

Yong Mei ◽

Zhi Cheng Feng ◽

Xiao Gang Li ◽

...

Keyword(s):

Signal Processing ◽

High Precision ◽

Pressure Sensor ◽

Temperature Compensation ◽

Measurement Range ◽

Pressure Signal ◽

Resistor Networks ◽

Signal Monitoring

pressure sensor, CrSi resistor networks, temperature compensation. Abstract. In this paper, focused on especial requirement monolithic integrated resistance pressure sensor, pressure structure, signal processing circuits and process compatible technology of sensor and IC were studied. The feebleness pressure signal monitoring circuits was designed, high precision CrSi resistor networks was used for temperature compensation of resistance pressure sensor, and a monolithic integrated pressure sensor only 2.3×2.3mm2 was obtained. The measuring results are as follows, measurement range is 5-115kPa, the maximum Vout is more than 4.5V, sensitivity is 1.2%.

Download Full-text