Detection of power quality disturbances using an adaptive process noise covariance Kalman filter
Y **, Z Li, X Zeng, X Tang, Q Liu, H **ao - Digital Signal Processing, 2018 - Elsevier
This paper proposes an adaptive process noise covariance Kalman filter (APNCKF) for
detecting the power quality disturbances present in distorted power signals. Based on the …
detecting the power quality disturbances present in distorted power signals. Based on the …
Power system harmonic analysis using the Kalman filter
K Kennedy, G Lightbody… - 2003 IEEE Power …, 2003 - ieeexplore.ieee.org
This paper explores the practical application of the Kalman filter to the analysis of harmonic
levels in power systems. The merits and limitations of different possible implementations are …
levels in power systems. The merits and limitations of different possible implementations are …
Misfire detection of diesel engine based on convolutional neural networks
P Zhang, W Gao, Y Li, Y Wang - Proceedings of the …, 2021 - journals.sagepub.com
With the ever-stringent vehicles exhaust emission standard and higher requirements on on-
board diagnostic technology, the importance of misfire detection in vehicle emission control …
board diagnostic technology, the importance of misfire detection in vehicle emission control …
Misfire identification in a four-stroke four-cylinder petrol engine using decision tree
Misfire detection in an internal combustion engine is very crucial to maintain optimum
performance throughout its service life and to reduce emissions. The vibration of the engine …
performance throughout its service life and to reduce emissions. The vibration of the engine …
Real-time moving horizon estimation for a vibrating active cantilever
Vibrating structures may be subject to changes throughout their operating lifetime due to a
range of environmental and technical factors. These variations can be considered as …
range of environmental and technical factors. These variations can be considered as …
Research on the application of artificial intelligence method in automobile engine fault diagnosis
C Du, W Li, Y Rong, F Li, F Yu… - Engineering Research …, 2021 - iopscience.iop.org
The application of artificial intelligence methods in fault diagnosis is becoming more and
more extensive, and exploring and researching intelligent fault diagnosis methods for …
more extensive, and exploring and researching intelligent fault diagnosis methods for …
A comparison of different methods for fuel delivery unevenness detection in Diesel engines
Conventional misfire diagnosis techniques are based on the analysis of the instantaneous
engine speed. Although they have proved their efficiency in some operating conditions and …
engine speed. Although they have proved their efficiency in some operating conditions and …
Study of CNG/diesel dual fuel engine's emissions by means of RBF neural network
L Zhen-Tao, F Shao-mei - Journal of Zhejiang University-SCIENCE A, 2004 - Springer
Great efforts have been made to resolve the serious environmental pollution and inevitable
declining of energy resources. A review of Chinese fuel reserves and engine technology …
declining of energy resources. A review of Chinese fuel reserves and engine technology …
[PDF][PDF] Misfire detection in a multi-cylinder diesel engine: A machine learning approach
AK Babu, VAA Raj… - Journal of Engineering …, 2016 - jestec.taylors.edu.my
Misfire is another type of abnormal combustion. When engine misfires, cylinder (or cylinders)
is not producing its normal amount of power. Engine misfire also has negative effects on …
is not producing its normal amount of power. Engine misfire also has negative effects on …
Single and multiple misfire detection in internal combustion engines using vold-kalman filter order-tracking
MKB Abadi, A Hajnayeb, A Hosseingholizadeh… - 2011 - sae.org
This paper presents an algorithm for the detection of single and multiple misfires in internal
combustion engines, using only the signal of the knock sensor. Several experiments were …
combustion engines, using only the signal of the knock sensor. Several experiments were …