IOT based condition monitoring and fault detection for rotating machine
Joint Authors
al-Kur, Hasan
Munis, Zainab
Hamad, Naimah
al-Kadri, Hussam
Source
International Science and Technology Journal
Issue
Vol. 2022, Issue 31 (30 Nov. 2022), pp.1-12, 12 p.
Publisher
Libyan Society for Research and Scientific Studies
Publication Date
2022-11-30
Country of Publication
Libya
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract AR
مع تطور الاتصالات اللاسلكية وتكنولوجياMicro Electro mechanical systems (MEMS) ، أصبح من الأسهل مراقبة حالة الماكينات الدوارة من خلال تركيب مستشعر MEMS على الجهاز، والذي لديه القدرة على توفير معلومات أكثر دقة حول الجهاز الدوار.
في هذا البحث تم قياس درجة حرارة المروحة وإرسالها إلى السحابة عبر NODEMCU esp 8266 E12 والتي تحتوي على المعالجات الدقيقة واتصال Wi-Fi مما يوفر طريقة سهلة للتحكم في المستشعر.
لتقييم أداء الطريقة تم جمع البيانات في ظل شرطين مختلفين وهما حالة صحية وخاطئة ثم تم تحليل البيانات المخزنة باستخدام MATLAB واستخدمت لمراقبة حالة الجهاز واكتشاف العيوب.
تظهر النتائج التجريبية أن الطريقة المقترحة يمكن أن تشير بوضوح إلى الخطأ وبالتالي توفير طريقة موثوقة واقتصادية لمراقبة حالة الآلات والكشف عن الأعطال.
Abstract EN
With recent development in wireless communication and micro electro mechanical systems (MEMS) technology, it becomes easier to monitor rotating machinery condition by mounting compact wireless MEMS sensor directly on the machine, which has the potential to provide accurate information about the rotating machine.
MEMS sensors are optimal for wireless measurements and internet of things (IOT) applications, which makes them a good option for remote condition monitoring.
A cost-effective CM system is necessary to ensure that machines can work properly over long time of efficient operation with the required accuracy.
Therefore, systems that use advanced technologies and techniques for predictive maintenance, such as IoT sensor communication are essential.
In this paper, the temperature of fan was measured and sent to cloud via NODEMCU esp 8266 E12 bored that contain microprocessor and Wi-Fi connection providing an easy way to control the sensor.
To evaluate the performance of the method, data was collected under two different conditions which are healthy and faulty condition.
Then, the stored data was analyzed using MATLAB and used for machine condition monitoring and fault detection.
The experimental results show that the proposed method can clearly indicate the fault, thus providing a reliable and economical method for machine condition monitoring and fault detection.
American Psychological Association (APA)
al-Kur, Hasan& Munis, Zainab& Hamad, Naimah& al-Kadri, Hussam. 2022. IOT based condition monitoring and fault detection for rotating machine. International Science and Technology Journal،Vol. 2022, no. 31, pp.1-12.
https://search.emarefa.net/detail/BIM-1595062
Modern Language Association (MLA)
al-Kur, Hasan…[et al.]. IOT based condition monitoring and fault detection for rotating machine. International Science and Technology Journal No. 31 (Nov. 2022), pp.1-12.
https://search.emarefa.net/detail/BIM-1595062
American Medical Association (AMA)
al-Kur, Hasan& Munis, Zainab& Hamad, Naimah& al-Kadri, Hussam. IOT based condition monitoring and fault detection for rotating machine. International Science and Technology Journal. 2022. Vol. 2022, no. 31, pp.1-12.
https://search.emarefa.net/detail/BIM-1595062
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references: p. 10-12
Record ID
BIM-1595062