Machinery fault detection and diagnosis
1. Li, C., Liang,
M., 2012, Characterization and modeling of a novel electro-hydraulic variable
two-terminal mass device, Smart
Materials and Structures, Vol. 21, doi:10.1088/0964-1726/21/2/025004.
2.
A.
Khoddamzadeh, R. Liu, M. Liang, and Q. Yang, 2012, Novel wear-resistant
materials – Carbon fiber reinforced low-carbon Stellite
alloy composites, Composites:
Part A, Vol. 43, 344-352.
3.
Y.
Wang and M. Liang, 2012, Identification of multiple transient faults based on
the adaptive spectral kurtosis method, Journal
of Sound and Vibration, Vol 331, 470-486.
4.
Li,
C., Liang, M., Wang, Y., and Dong, Y., 2011, Vibration suppression using
two-terminal flywheel, Part I: modeling and characterization, Journal of
Vibration and Control, DOI: 10.1177/1077546311419546.
5.
Li,
C., Liang, M., Wang, Y., and Dong, Y., 2011, Vibration suppression using
two-terminal flywheel, Part II: Application to vehicle passive suppression, Journal of
Vibration and Control, DOI: 10.1177/1077546311419547.
6.
X.
Zhang, X. Li, M. Liang and Y. Wang, 2011, Covariance
tracking with forgetting factor and random sampling, International Journal of Uncertainty,
Fuzziness and Knowledge-Based Systems (IJUFKS), Vol. 19, No. 3, 547-558, DOI: 10.1142/S021848851100712X.
7.
Li,
C., and Liang M., 2011, Time–frequency signal analysis for gearbox fault diagnosis using a
generalized synchrosqueezing transform, Mechanical
Systems and Signal Processing. Doi:10.1016/j.ymssp.2011.07.001.
8.
Xiang,
J., and M. Liang, 2011, Multiple damage detection method for beams based on
multi-scale elements using Hermite cubic spline
wavelet, Computer Modeling in Engineering &
Sciences, Vol.73, No.3, 267-298.
9.
Li,
C., and Liang M., 2011, Separation of vibration-induced signal of oil debris for
vibration monitoring, Smart Materials and Structures,
20 045016 doi:10.1088/0964-1726/20/4/045016.
10. Li C and Liang
M, 2011, Extraction of oil
debris signature using integral enhanced empirical mode decomposition and
correlated reconstruction,
Measurement Science and Technology,
22 085701 doi:10.1088/0957-0233/22/8/085701.
11. Boutros, T., and
Liang, M., 2011, Detection and diagnosis of bearing and cutting tool faults
using hidden Markov models, Mechanical
Systems and Signal Processing. Vol. 25, 2102-2124.
12. Hou, S, Liang,
M., and Li, Y., 2011, An optimal global projection denoising algorithm and its application to shaft orbit
purification, Structural Health Monitoring 10.1177/1475921710395808.
13. Wang, Y., Liang,
M., 2011, An adaptive SK technique and its application
for fault detection of rolling element bearings, Mechanical
Systems and Signal Processing. 25(5) 1750-1764.
14. Soltani Bozchalooi, I. and Liang, M., 2010, Teager energy operator for multi-modulation extraction and
its application for gearbox fault detection, Smart Materials and Structures, Vol.19 (2010) 075008.
15. Liang, M. and
Soltani Bozchalooi, I., 2010, An energy operator approach to joint application
of amplitude and frequency-demodulations for bearing fault detection, Mechanical
Systems and Signal Processing, Vol.24, No.5, 1473-1494.
16. Soltani Bozchalooi,
I. and Liang, M., 2010, In-line identification of oil debris signals: an
adaptive subband filtering approach, Measurement Science and Technology,
Vol.21, doi:10.1088/0957-0233/21/1/015104.
17. Fan, X., Liang, M.,
Yeap, T., 2009, A joint time-invariant
wavelet transform and kurtosis approach to the improvement of in-line oil
debris sensor capability Smart Materials and Structures, Vol. 18, doi:10.1088/0964-1726/18/8/085010.
18. Hou, S., Li, Y., Wang, Z, and Liang, M., 2009, A New
Low Frequency Resonance Sensor for Low Speed Roller Bearing Monitoring, ASME
Trans. Journal Vibration and
Acoustics, Vol 132, No.1. doi:10.1115/1.4000773. (This paper was ranked among the Top 10 Most Downloaded Articles (http://scitation.aip.org/journals/doc/ASMEDL-home/most_downloaded.jsp?KEY=JVACEK&Year=2010&Month=2&agg=md
, accessed Oct 18, 2010)
19. Wang, L., and
Liang, M., 2009, Chatter Detection based
on Probability Distribution of Wavelet Modulus Maxima, International
Journal of Robotics and
Computer Integrated Manufacturing, Vol.25, 989-998.
20. Soltani Bozchalooi, I, and Liang, M., 2009,
Parameter-free bearing fault detection based on maximum likelihood estimation
and differentiation, Journal
of Measurement Science and Technology, Vol. 20, doi.10.1088/0957-0233/20/6/065102.
21. Hong, H., and
Liang, M., 2009, Fault severity assessment for rolling element bearings using
the Lempel-Ziv complexity and continuous wavelet transform, Journal
of Sound and Vibration, Vol. 320, 452-468.
22. Hong, H., and Liang,
M., 2008, On-line extraction of oil debris signatures using fractional calculaus, Journal of Measurement Science and
Technology, Vol.19, No.5, 055703.
23. Soltani Bozchalooi,
I, and Liang, M. 2008, A joint resonance frequency estimation and in-band noise
reduction method for enhancing the detectability of bearing fault signals, Mechanical
Systems and Signal Processing, Vol.22, No.4, 915-933. (This paper was ranked 11th of the
Top 25 Hottest Articles published
by MSSP cited in Jan – Mar 2008, see http://top25.sciencedirect.com/subject/engineering/12/journal/mechanical-systems-and-signal-processing/08883270/archive/15/,
accessed May 18, 2009 ).
24. Fan, X., Liang, M.,
Yeap, T., and Kind, B., 2007, A joint wavelet lifting and ICA approach to fault
detection of rolling element bearings, Smart Materials and Structures,
Vol.16, 1973-1987.
25. Soltani Bozchalooi,
I, and Liang, M., 2007, A smoothness index guided approach to wavelet parameter
selection in signal de-noising and fault detection, Journal
of Sound and Vibration, Vol.308, No.1-2, 246-267. (This paper was cited by Wikipedia as one of the 8
references for Rice Distribution at
http://en.wikipedia.org/wiki/Rice_distribution
accessed Dec 24, 2008 and
May 18, 2009)
26. Hong, H., and
Liang, M., 2007, K-hybrid: a kurtosis based hybrid thresholding
method for mechanical signal de-noising, ASME Trans. Journal Vibration
and Acoustics, Vol.129, No.4, 458-470.
27. Boutros, T., and
Liang, M., 2007, Mechanical fault detection using fuzzy index fusion, International
Journal of Machine Tools and Manufacture, Vol.47, No.11, 1072-1714.
28. Hong, H., and
Liang, M., 2007, Separation of fault features from a single-channel mechanical
signal mixture using wavelet decomposition, Mechanical
Systems and Signal Processing, Vol. 21, No. 5, 2025-2040. (This paper is among the 25 Hottest Articles
of the Journal of April-June 2007, http://top25.sciencedirect.com/subject/engineering/12/journal/mechanical-systems-and-signal-processing/08883270/archive/12/,
accessed May 18, 2009).
Manufacturing
planning, monitoring and control
1. Azizi, N., and
Liang, M., An integrated approach to work assignment, workforce flexibility acquisition,
and task rotation, Journal of the Operational Research
Society, JOR-10-0423-P (accepted June 17, 2011).
2.
Azizi, N., Zolfaghari, S., Liang, M., 2010, Modeling
job rotation in manufacturing systems: The study of employee's boredom and
skill variations, International
Journal of Production Economics
Vol.123, No.1, 69–85.
3.
Azizi, N.,
Zolfaghari, S., Liang, M., 2010, A Collaborative Search Strategy to Solve Combinatorial
Optimization and Scheduling Problems. Chapter 9 (pp. 125-136) in
"Modeling, Simulation, and Optimization-Tolerance and Optimal
Control". Shkelzen Cakaj
(Ed.), ISBN 978-953-307-056-8, INTECH Education and Publishing, Vienna,
Austria.
4.
Azizi, N., Zolfaghari,
S., Liang, M., 2010, Hybrid simulated annealing with memory: an evolution-based
diversification approach, International
Journal of Production Research Vol 48, No 18,
5455-5480.
5. Azizi, N., Liang,
M., and Zolfaghari, S., 2009, Hybrid simulated annealing in flow-shop
scheduling: a diversification and intensification approach, International
Journal of Industrial and Systems Engineering, Vol.4, No.3, 326-348.
6.
Liu, W., and Liang, M., 2008, Multi-objective design
optimization of reconfigurable machine tools: a modified fuzzy Chebyshev programming approach, International
Journal of Production Research, Vol.46, No.6, 1587-1618.
7.
Ye, H., and Liang, M., 2006, Simultaneous modular
product scheduling and manufacturing cell reconfiguration using a genetic algorithm,
ASME Trans. Journal of Manufacturing
Science and Engineering, Vol.128, November,
984-995.
(This paper was ranked the 5th of the Top 10 Most Downloaded
Articles –
May 2007 of the Journal, http://asmedl.aip.org/journals/doc/ASMEDL-home/most_downloaded.jsp?KEY=JMSEFK&Year=2007&Month=5&agg=md,
accessed Dec 24, 2008 and May 18, 2009)
8.
Xu, Z., and Liang, M., 2006, Integrated planning for
product module selection and assembly line design/reconfiguration, International
Journal of Production Research, Vol.44, No.11, 2091-2117.
9.
Xu, Z., and Liang, M., 2005, Concurrent optimization
of product model selection and assembly line configuration: a multi-objective
approach, ASME Trans. Journal of
Manufacturing Science and Engineering, Vol. 127, November, 875-884.
10. Wang, P., and
Liang, M., 2005, Simultaneously solving process
selection. Machining parameter optimization and tolerance design problems: a
bi-criterion approach, ASME Trans.
Journal of Manufacturing Science and Engineering, Vol.127, August,
533-544.
11. Wang, P., and
Liang, M., 2005, An integrated approach to tolerance syntheses, process
selection and machining parameter optimization problems, International
Journal of Production Research, Vol.43, No.11, 2237-2262.
12.
Liang, M., Yeap, T., and Hermansyah,
2004, A fuzzy system for chatter suppression in end milling, IMechE Journal of
Engineering Manufacture, Vol.218, April, 403-417.
13.
Zolfaghari, S., and Liang, M., 2004, Comprehensive
machine cell/part family formation using genetic algorithms, Journal
of Manufacturing Technology Management (previously Journal of
Integrated Manufacturing Systems), Vol.15, No.6, 433-444.
14.
Zolfaghari, S., and Liang, M., 2003, A new genetic
algorithm for the machine/part grouping problem involving processing times and
lot sizes, International
Journal of Computers and Industrial Engineering,
Vol.45, No.4, 713-731.
15. Liang, M., Yeap,
T., Hermansyah, A., and Rahmati,
S., 2003, Fuzzy Control of Spindle Torque for Industrial CNC Machining, International
Journal of Machine Tools and Manufacture, Vol.43, No.14, 1497-1508.
16. Liang, M., Yeap,
T., Rahmati, S., and Han, Z., 2002, Fuzzy control of
spindle power in end milling processes, International
Journal of Machine Tools and Manufacture, Vol.42, No.14, 1487-1496.
17. Zolfaghari, S., and
Liang, M., 2002, A comparative study of simulated annealing, genetic algorithm
and tabu search for solving binary and comprehensive
machine grouping problems, International
Journal of Production Research, Vol.40, No.9, 2141-2158.
1.
Liang, M., Yeap,
T., Fan, X., and Soltani Bozchalooi, I., 2011, Method to extract target signals
of a known type from raw data containing an unknown number of target signals,
interference, and noise. (Full US patent No. 8,073,634, issued/dated: Dec 6,
2011).
2.
Liang, M., and
Soltani Bozchalooi, I., 2009, Parameter
independent detection of rotating machinery faults (Full US patent,
Serial number: 12/631,528, Status: pending).
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