Development of an active noise control system for sleeper seats on large commercial aircraft. Possible avenues will be investigated to actively reduce aircraft cabin noise experienced by passengers in sleeper seats, using localised active noise control (ANC). Previous work has focused on headsets and upright seat headrests which represent a different problem to the partially enclosed sleeper seats considered here. Efficiency and robustness problems that affect existing ANC systems will be addres ....Development of an active noise control system for sleeper seats on large commercial aircraft. Possible avenues will be investigated to actively reduce aircraft cabin noise experienced by passengers in sleeper seats, using localised active noise control (ANC). Previous work has focused on headsets and upright seat headrests which represent a different problem to the partially enclosed sleeper seats considered here. Efficiency and robustness problems that affect existing ANC systems will be addressed. A prototype system will be produced for a business class sleeper seat in a wide body aircraft. A second outcome is the establishment of a robust integrated system design procedure that can be used to quickly develop ANC systems for future designs.Read moreRead less
Development of the applications of signal processing to mechanical problems and machine diagnostics. It is intended to extend research collaboration in the following areas of interest to both UTC and UNSW:
(1) Dynamics of gears for diagnostics and noise control
(2) Application of blind source separation techniques to mechanical problems
(3) Application of cyclostationary signal analysis techniques to machine diagnostics
(4) Determination of structural dynamic properties from response measure ....Development of the applications of signal processing to mechanical problems and machine diagnostics. It is intended to extend research collaboration in the following areas of interest to both UTC and UNSW:
(1) Dynamics of gears for diagnostics and noise control
(2) Application of blind source separation techniques to mechanical problems
(3) Application of cyclostationary signal analysis techniques to machine diagnostics
(4) Determination of structural dynamic properties from response measurements
(5) Diagnostics of diesel engines and other reciprocating machines.
This project will result in the publication of joint papers in each of these topics, and give material to form the basis of an application for at least one FAIR project in the area of gear noise control and diagnostics.Read moreRead less
Sound Control Panels Made of Digital Acoustics Elements. This project aims to pioneer a new generation of smart sound control panels made of digital acoustics elements for broadband sound control. The project expects to generate a break-through mechanistic understanding of energy dissipation among the acoustical, mechanical and electrical components in the proposed devices. It is expected that these devices will have superior sound absorption performance from 50 Hz to 10 kHz, and will be low cos ....Sound Control Panels Made of Digital Acoustics Elements. This project aims to pioneer a new generation of smart sound control panels made of digital acoustics elements for broadband sound control. The project expects to generate a break-through mechanistic understanding of energy dissipation among the acoustical, mechanical and electrical components in the proposed devices. It is expected that these devices will have superior sound absorption performance from 50 Hz to 10 kHz, and will be low cost, compact (<10 mm thick), environmentally sustainable, clean (fibreless), and be adaptive to environments. It will provide a solution for broadband sound control, which is critical for many domestic, industry, and military applications to create a quieter and more comfortable sound environment.Read moreRead less
Advancing System Identification using Modern Optimisation Methods. This project lies within an ARC Research Priority Area. Namely, "Frontier Technologies". It involves the development of new technologies and fundamental theory that take data records from physical or abstract systems and generate mathematical models for use in prediction, control and diagnosis of the underlying system. In light of this, the project also lies within the ARC Research Priority Area of "Smart Information Use",
New Approaches for the Estimation of Complex Dynamic System Models. This project lies within an ARC defined Research Priority Area.
Namely, "Frontier Technologies". It is directed towards taking
available data records from physical and other processes, ranging from
petrochemical plant outputs to share market values, and using them to
determine equations that allow for the prediction, diagnosis, and
control of the underlying determining systems. As such, it lies
within the ARC identified ....New Approaches for the Estimation of Complex Dynamic System Models. This project lies within an ARC defined Research Priority Area.
Namely, "Frontier Technologies". It is directed towards taking
available data records from physical and other processes, ranging from
petrochemical plant outputs to share market values, and using them to
determine equations that allow for the prediction, diagnosis, and
control of the underlying determining systems. As such, it lies
within the ARC identified area of "Smart Information Use", but has further
potential to foster new approaches and new technologies, by way of the
improved system modelling, prediction and diagnosis capabilities it will provide.Read moreRead less
New Methods for Dynamic System Estimation. The estimation of dynamic system models from records of normal operating data is a significant problem across many engineering applications ranging from (at least) chemical process control to the implementation of telecommunications networks. This project, based on a promising pilot study, will develop and analyse new methods for solving these problems. This will lead to significant advances in the simplicity, robustness and generality of methods for a ....New Methods for Dynamic System Estimation. The estimation of dynamic system models from records of normal operating data is a significant problem across many engineering applications ranging from (at least) chemical process control to the implementation of telecommunications networks. This project, based on a promising pilot study, will develop and analyse new methods for solving these problems. This will lead to significant advances in the simplicity, robustness and generality of methods for accurate model generation with attendant benefits of more efficient and higher performance operation of many engineering systems.Read moreRead less
Gas metal arc welding process monitoring with acoustic sensing. This project aims to investigate the physical mechanisms of Gas Metal Arc Welding (GMAW) sound generation, and establish an acoustic model that correlates the acoustic signal with other wielding parameters. Key acoustic features and identification algorithms for process monitoring will be explored, and a prototype GMAW process monitoring system developed. GMAW is an arc welding process that is widely used in industry and well suited ....Gas metal arc welding process monitoring with acoustic sensing. This project aims to investigate the physical mechanisms of Gas Metal Arc Welding (GMAW) sound generation, and establish an acoustic model that correlates the acoustic signal with other wielding parameters. Key acoustic features and identification algorithms for process monitoring will be explored, and a prototype GMAW process monitoring system developed. GMAW is an arc welding process that is widely used in industry and well suited to automatic welding. The proposed monitoring method is an urgent need identified by industries for improving process control and quality. Auditory cues have been found to be critical for expert welders to adjust the weld process and to maintain quality, but the mechanisms underpinning the process are not well understood. The project will provide significant benefit to the Australian manufacturing industry’s productivity and innovation.Read moreRead less
Vector quantization approaches to nonlinear stochastic estimation. Many problems in health, economics, telecommunications and industrial control can be formulated as estimation problems with uncertain data. This project is aimed at developing a novel class of algorithms aimed at high complexity estimation problems. If successful, the project will provide new approaches to these problems.
Joint modelling and recognition of linguistic and paralinguistic speech information. A new modelling framework will be developed exploiting interdependence between linguistic and paralinguistic cues to improve automatic recognition of emotion-related information. Applications in the high-tech industry include automatic routing of angry telephone customers or pre-suicidal crisis centre callers to specialist operators/clinicians.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE0560735
Funder
Australian Research Council
Funding Amount
$139,194.00
Summary
A Signal Simulation Facility for GNSS Receiver Design and Testing. The proposed Facility comprises a Global Navigation Satellite System (GNSS) RF Signal Simulator which allows laboratory testing of new signal tracking and navigation solution algorithms, under different scenarios. Simulation of the operation of current and future GPS satellites, and of the new European GNSS "Galileo", is vital for testing new receiver designs. For example, the Facility could be programmed to generate a GPS satell ....A Signal Simulation Facility for GNSS Receiver Design and Testing. The proposed Facility comprises a Global Navigation Satellite System (GNSS) RF Signal Simulator which allows laboratory testing of new signal tracking and navigation solution algorithms, under different scenarios. Simulation of the operation of current and future GPS satellites, and of the new European GNSS "Galileo", is vital for testing new receiver designs. For example, the Facility could be programmed to generate a GPS satellite signal with user-selectable physical variations in the signal path, including the presence of RF jamming sources, high atmospheric disturbances, diffraction effects and multipath. As many of the signal variations are rare and/or unpredictable, the Signal Simulator is the only means to carry out such tests.Read moreRead less