Statistical Signal Processing and Mechanical Systems Diagnosis
Call for Papers
By monitoring the energy coming from mechanical systems (e.g., acoustics and vibration emission), it is possible to estimate not only actual condition but also future behavior of the machine. Problems involved on diagnosis via acoustics and vibration monitoring reside in time-varying nature of measured signals, complexity of the vibration pattern of defective mechanical components, interference of random signals and sources of acoustics and vibration emission, and so forth. Then, statistical signal processing techniques (SSPTs) are more and more applied and developed in order to attain a more accurate machine condition monitoring.
SSPT applied on machine condition monitoring can be classified into:
- Preprocessing techniques (for signal conditioning, such as filtering and deconvolution techniques, genetic algorithms applications, etc.)
- Feature extraction techniques (temporal and spectral analysis, envelope detection, higher-order statistical and cyclostationary processing, time-frequency analysis)
- Condition classification techniques (artificial neural network applications, expert systems, fuzzy logic, etc.)
Spectral analysis emerges as the signal processing technique more used for machine fault detection. However, nonlinearity and nonstationarity properties of acoustics and vibration signal emitted by certain mechanical components, and the challenge of estimating low-magnitude signal properties at noise environments, have led to the application of advanced signal processing techniques such as time-frequency analysis, higher-order statistical processing, cyclostationary analysis.
Recognizing the growing importance of and interest in effective application of signal processing techniques on machine diagnosis, Advances in Acoustics and Vibration will devote a special issue to innovative research papers in advanced statistical acoustics and vibration analysis for machine condition monitoring.
Topics of interest involve not only those techniques included in the SSPT classification, but also their practical implementation (algorithm optimization, hardware implementation, embedded systems, etc.).
Authors should follow the Advances in Acoustics and Vibration manuscript format described at the journal's site http://www.hindawi.com/journals/aav/. Prospective authors should submit an electronic copy of their complete manuscript through the journal's Manuscript Tracking System at http://mts.hindawi.com/, according to the following timetable
| Manuscript Due | July 1, 2008 |
| First Round of Reviews | October 1, 2008 |
| Publication Date | January 1, 2009 |
Guest Editors