List of Articles Condition Monitoring

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  1 - Simultaneous use of Acoustic Emission Signals and Statistical Analysis to Distinguish between Lubrication Modes in Rolling Element Bearings
  Seyed Ali Niknam
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  2 - Prioritizing Condition Monitoring Strategies for Increasing Equipment’s Availability Using an Integrated Approach of AHP-QFD (Case Study: Esfahan Steel Company)
  Arash Shahin Hadi Balouei Jamkhaneh Pezhman Soleymanpoor
  Nowadays management of physical assets is considered as one of the important fields of science and technology. Reduction of undesirable random failures and repairs is one of the most important objectives of those who utilize advanced types of equipment and machinery. Me More

  Nowadays management of physical assets is considered as one of the important fields of science and technology. Reduction of undesirable random failures and repairs is one of the most important objectives of those who utilize advanced types of equipment and machinery. Meanwhile, Condition Based Maintenance (CBM) has been recognized as an effective solution for the problems of technical, economic and strategic management of machinery and types of equipment. In this study, besides explaining the basics of this condition monitoring (CM) and existing standards, The influencing trend of CM process parameters on "increased equipment availability" have been studied in Isfahan Steel Company and, CM strategies have been prioritized using an integrated approach of Analytic Hierarchy Process (AHP) and Quality Function Deployment (QFD) towards improvement of equipment availability. Data related to house of quality is also via Likert questionnaire, have been collected between managers and experts of THE Maintenance department in the Isfahan Steel Company. The findings indicate that strategies of frequency analysis and overall vibration level with a total weight of 0.2810 and strategies of magnetic keys and filters with a total weight of 0.1026 have the most influence on increasing the availability of the equipment.   Manuscript profile
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  3 - Experimental Condition Monitoring of Unbalanced Rotary Shaft Based on ANFIS by Using Piezoelectric Sensor
  Mojtaba Hasanlu
  Todays, there are using hybrid methods in order to reach high level degree of accuracy and reliability for engineering systems. According to more reality modelling of system, it was mixed three strategies such as fuzzy, artificial neural networks and adaptive method. Th More

  Todays, there are using hybrid methods in order to reach high level degree of accuracy and reliability for engineering systems. According to more reality modelling of system, it was mixed three strategies such as fuzzy, artificial neural networks and adaptive method. This mixed methods is presenting and analyzing each of engineering problem. Adaptive-Neural-Fuzzy (ANF) can be showed in which a robustness and reliable model by designer who assess that in order to make decision as well. In this paper, main aim is experimental condition and health monitoring of rotary system is including shaft, bearings, electromotor which are main components of system and using piezoelectric as sensor by ANF method. Firstly, by using LabVIEW software, experimental data of flexural vibration was recorded with piezoelectric sensor where were fixed on top of bearings, and secondly we used MATLAB software for analyzing experimentation for presentation of ANF model in order to curve fitting of data. Manuscript profile
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  4 - Using Condition Monitoring (CM) for Access to Efficiency Improvement in Industry Case Study: Mazandaran Wood and Paper Industries
  Mohammad Mehdi Movahhedi Valiyollah Rezaee Nosrati
  Nowadays, managers try to use scientific methods to increase the quality of goods, and simultaneously reduce their final prices as well. Condition Monitoring (CM) is one of the methods which has been popular among industrial managers in recent years and of course it has More

  Nowadays, managers try to use scientific methods to increase the quality of goods, and simultaneously reduce their final prices as well. Condition Monitoring (CM) is one of the methods which has been popular among industrial managers in recent years and of course it has provided many benefits for organizations. Analyzing the vibrations is one of the condition monitoring methods, and by using it we can avoid rework, and reduce the company's costs considerably. To show this effect for efficiency improvement of production process, Mazandaran Wood and Paper Industries has been selected as a case study, and the vibration analysis, one method of the conditions monitoring has been applied. In this research, we have shown how to prevent stoppages and damages of the equipment by in-time awareness and by imposing preventive repairs. Secondly, considerable conservation in consumption of parts and manpower will be achieved for repairing and maintenance of equipment in order to guide the organization toward efficiency improvement. Manuscript profile
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  5 - Development and Implementation of Principal Component Analysis Method for Monitoring of Gas Turbine
  Samira Piri Niaragh Elham Ghanbari
  10.30495/jmemiau.2023.707350
  Gas turbines are complex and expensive machines that the cost of repairing unexpected failures is very high. There are many sensors installed in each gas turbine that record and collect large amounts of data. With the data mining of such big data, failure prediction is More

  Gas turbines are complex and expensive machines that the cost of repairing unexpected failures is very high. There are many sensors installed in each gas turbine that record and collect large amounts of data. With the data mining of such big data, failure prediction is possible before the occurrence. The data set for the present study is the recorded quantities of sensors mounted on a 9-frame gas turbine in one of the country's power plants. The one column of data matrix rows was first labeled to identify healthy and defective row in each data sample. Then, by using the Principal Component Analysis method, the dimensions of the data matrix were reduced from seven to four dimensions and the main features were extracted. Following this, a model was developed by applying Artificial Neural Network method that was able to identify fault rows in the data matrix and identify the class of the data samples as healthy or defective. Accuracy, precision, and convergence of the model for two-to-six-dimensional model reductions were studied after machine learning was performed on 80% of the data. After matrix dimensionality reduction, and feature extraction by using "Principal Component Analysis" method, our well-designed model was also able to identify and classify the fault by using "Artificial Neural Network" method. In this thesis, it was found that our mode l by combining "Principal Component Analysis" method with "Artificial Neural Network" was able to show more than 90% precision with good accuracy and maximum degree of data matrix convergence. Moreover, it was able to specify the gas turbine fault class.     Manuscript profile
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  6 - استفاده از روش نشر اکوستیک برای مطالعه خرابی سطح در فرایند اصطکاک
  مهدی احمدی
  در این مقاله با استفاده از پایش سیگنال الکتریکی یک سامانه نشر اکوستیک، تغییر شرایط در سطح مالش مورد بررسی تجربی قرار گرفته است.  اصطکاک با لغزش یک حلقه فولادی بر سطح یک ورق فلزی شبیه سازی شده است. در اثر حرکت حلقه، آشوب‌ مکانیکی در سطح فلز ایجاد می‌شود که به صورت ا More

  در این مقاله با استفاده از پایش سیگنال الکتریکی یک سامانه نشر اکوستیک، تغییر شرایط در سطح مالش مورد بررسی تجربی قرار گرفته است.  اصطکاک با لغزش یک حلقه فولادی بر سطح یک ورق فلزی شبیه سازی شده است. در اثر حرکت حلقه، آشوب‌ مکانیکی در سطح فلز ایجاد می‌شود که به صورت امواج تنشی در سطح منتشر می‌شود. با استفاده از یک حسگر پیزوالکتریک، جابه‌جایی ناشی از گذر موج تنش به صورت سیگنال الکتریکی دریافت می‌شود که از آن برای تحلیل وضعیت اصطکاک استفاده می‌شود. نتایج به‌دست آمده نشان می دهد که میزان تأثیر عوامل مختلف مثل نیروی عمودی، جنس مواد و استفاده از روانکار بر خرابی سطح را می‌توان با تحلیل سیگنال الکتریکی مشاهده کرد. به‌عنوان مثال، مطالعه سیگنال حاصل از مالش دو سطح نشان می دهد که با مضمحل شدن لایه نازک روانکار بین دو سطح، سیگنال‌های مربوط به تشکیل خرابی‌های میکروسکپی با دامنه و فرکانس معین ظاهر می‌شوند. حساسیت روش مورد استفاده برای تشخیص خرابی نسبت به روش پایش اصطکاک به مراتب بیشتر بوده و از این روش می‌توان برای پایش وضعیت سطح در فرایند اصطکاکی استفاده کرد Manuscript profile