This chapter surveys the contemporary approaches of automatic sound recognition and
discusses the benefits stemming from real-world applications of this technology. We identify …

Objective of our paper is to discuss latest pattern recognition applications, techniques and
development. Pattern recognition has been demanding field from many years. We are also …

Analytical model-based methods have been devel-oped during the last decades to achieve
the goals of fault diagnosis of systems. One of the drawbacks of these methods, is the …

Underground pipes are an important part of urban water infrastructure. These pipes are
gradually deteriorating due to aging, operational stresses and environmental conditions. In …

Motorcycles generate different sound patterns under dissimilar working conditions. The
generated sound pattern gives a clue of the fault. Mainly the parts of the engine that lead to …

This paper focuses on modelling driver intention and behaviour at roundabouts in order to
provide information on whether or not a driver intends to leave the roundabout when …

Motorcycles generate dissimilar sound patterns under different working conditions.
Generally, the experienced mechanics in authorized service stations take test rides to hear …

Several models have been proposed for fault detection and diagnosis in motorcycles based
on acoustic signals. Motorcycles produce sound signals with varying temporal and spectral …

The automobile service experts often assess the health condition of the motorcycles based
on the sound produced by taking test rides. To be effective, this process of fault diagnosis …

Rotating machines play an important role in industrial applications. Typical applications are
in aeronautical, naval and automotive industries [1]. These machineries faults may cause …