Aluminium/alumina/graphite hybrid metal matrix composites manufactured using stir casting technique was subjected to machining studies to predict tool condition during machining. Fresh tool as well as tools with specific amount of wear deliberately created prior to machining experiments was used. Vibration signals were acquired using an accelerometer for each tool condition. These signals were ...

This paper describes a hybrid Machine Translation (MT) system built for translating from English to German in the domain of technical documentation. The system is based on three different MT engines (phrase-based SMT, RBMT, neural) that are joined by a selection mechanism that uses deep linguistic features within a machine learning process. It also presents a detailed source-driven manual error...

Induction motors plays the most important role in any industry. Induction motor faults results in motor failure causing breakdown and great loss of production due to shutdown of industry and also increases the running cost of machine with reduction in efficiency. This needs for early detection of fault with diagnosis of its root cause. In this research paper a wavelet based fault classification...

We consider a production system containing a set of machines which are arranged according to a series-parallel configuration. The machines are unreliable and the failure rate of machine depends on the load assigned to the machine. The expected performance of the system is considered to be a non-monotonic function of its load. The issue of machine failure rate depending upon machine load brings ...

We have previously described how imaging systems and image reconstruction algorithms can be evaluated on the basis of how well bina~-~sc~nation tasks can be performed by a machine algorithm that “views” the reconstructions.1-3 Algorithms used in these investigations have been based on approximations to the ideal observer of Bayesian statistical decision theory. The present work exa ‘nes the per...

Three phase induction machines for traction applications in electric and hybrid electric vehicles can be used with a fixed gear due to the wide speed range enabled by field weakening. Although the induction machine is know as an extremely reliable and robust device, machine faults may occur. Machine faults which do not become detected may cause complete failure of the vehicle. Therefore, early ...

lanczos-type algorithms are well known for their inherent instability. they typically breakdown occurs when relevant orthogonal polynomials do not exist. current approaches to curing breakdown rely on jumping over the non-existent polynomials to resume computation. this may have to be used many times during the solution process. we suggest an alternative to jumping, which consists of restarting...

This paper presents an asymptotic analysis of a stochastic manufaturing system consisting of parallel machines subject to breakdown and repair and facing a constant demand, as the rates of change of the machine states approach in nity. This situation gives rise to a limiting problem in which the stochastic machine availability is replaced by its equilibrium mean availability. The long-run avera...

Vibrodiagnosis helps in detecting incipient faults in rotating machines like pumps and generators. Early detection prevents from undesired breakdown of the machine and allows to schedule maintenance times. The application of neural networks in classification of the rotating machine condition has been described in this work. Different types of networks and methods on feature extraction was descr...

In 1980 Miyazaki considered the weight of a job in which weight shows the relative priority over some other job in a sequencing of different jobs. After that some researchers such as Ghanshiam Das, Singh and Singhal [1981], Panwalker [1991] Sotskov, Allahverdi and Lai [2000], Chandramouli (2005) and Belwal, Mittal (2008) had considered the idea of N-job 2 machine flow shop scheduling problem wi...