Hojat Ahmadi

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Recently, the issue of machine condition monitoring and fault diagnosis as a part of maintenance system became global due to the potential advantages to be gained from reduced maintenance costs, improved productivity and increased machine availability. The aim of this work is to investigate the effectiveness of a new fault diagnosis method based on power(More)
Chickpea (Cicer arietinum L.) is one of the most important grain legumes which traditionally cultivated in marginal areas and saline soils. In this study, chickpea production in Kurdistan, Iran and the energy equivalences of input used in production were investigated. The aims of this study were to determine the amount of input– output energy used in(More)
In this paper the frequency domain vibration signals of the gearbox of MF285 tractor is used for fault classification in three class: Healthy gear, Worn tooth face and broken gear. The effect of applying statistical parameters to signals on accuracy is studied. In addition, Influence of feature selection using Improved Distance Evaluation on classification(More)
Sensory evaluation is the application of knowledge and skills derived from several different scientific and showed that the data are in a good consistency. Therefore, the brands were statistically classified in several categories. Linear techniques as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) were performed over the data that(More)
in recent years, cause of requiring further reliability and accessibility of the machines, condition monitoring using multi information resources and fusion data resulted rather using one resource has become widely used. In this article, an intelligent system is proposed for fault diagnosis and classification of planetary gearboxes based on fusion the(More)
Nowadays, the ever increasing need for higher accuracy, reliability and security in modern industries has given rise intensively to the use of multi-sensor data fusion method in fault diagnosis of industrial equipment. In this article, an effective and powerful method for precise fault diagnosis of planetary gearbox based on fusion of vibration and acoustic(More)
This paper presents a fault Classification method based on a fuzzy inference system. The vibration signal from a piezoelectric transducer is captured for the following conditions of MF 285 gearbox: ‘Healthy Gearbox’ (H), ‘Gear with tooth face worn’ (W) and ‘Gear with tooth face broken’ (B), at three working speed (700, 1500 and 1800 rpm). The features of(More)
There have been considerable advancements in the field of MIS over the years, and it continues to grow and develop in response to the changing needs of the business and marketing environment. Professionals and academicians are contributing and serving the field of MIS through the dissemination of their knowledge and ideas in professional journals. Thus,(More)
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