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 …

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 …

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 …

Misfire identification in a four-stroke four-cylinder petrol engine using decision tree

SB Devasenapati, V Sugumaran… - Expert systems with …, 2010 - Elsevier
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 …

Real-time moving horizon estimation for a vibrating active cantilever

M Abdollahpouri, G Takács, B Rohaľ-Ilkiv - Mechanical Systems and Signal …, 2017 - Elsevier
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 …

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 …

A comparison of different methods for fuel delivery unevenness detection in Diesel engines

V Macián, JM Luján, C Guardiola, A Perles - Mechanical systems and signal …, 2006 - Elsevier
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 …

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 …

[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 …

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 …