Machine Reliability and Condition Monitoring: A Comprehensive Guide to Predictive Maintenance Planning (ePub)
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Condition monitoring is the process of keeping an eye on a machine's condition parameter in order to spot any major changes that could be signs of a malfunction developing. It plays a significant role in preventive maintenance and is a major component of predictive maintenance. By combining machine sensor data that detects vibration and other characteristics (in real-time) with cutting-edge machine monitoring software, condition monitoring (CM), a maintenance strategy, anticipates machine health and safety.
Predictive Maintenance strategy employs vibration analysis, thermography analysis, ultrasound analysis, oil analysis and other techniques to improve machine reliability. The goal of the strategy is to provide the stated function of the facility, with the required reliability and availability at the lowest cost.
Soliman earned a Bachelor's of science in Engineering and a Master's degree in Quality Management. He earned post-graduate degrees in Industrial Engineering and Engineering Management. He holds numerous certificates in management, industry, quality, and cost engineering.
For most of his career, Soliman worked as a regular employee for various industrial sectors. This included crystal-glass making, fertilizers, and chemicals. He did this while educating people about the culture of continuous improvement. Soliman has more than 15 years of experience and proven track record of achieving high levels of operational excellence to a broad range of business operations including manufacturing, service and healthcare. He has led several improvement projects within leading organizations and defined a lot of savings in the manufacturing wastes stream.
Soliman has lectured at Princess Noura University and trained the maintenance team in Vale Oman Pelletizing Company. He has been lecturing at The American University in Cairo for 8 years and has designed and delivered 40 leadership and technical skills enhancement training modules. In the past 4 years, Soliman's lectures have been popular and attracted a large audience of over 200,000 people according to SlideShare's analysis.. His research is one of the most downloaded works on the Social Science Research Network, which is run by ELSEVIER. His research is one of the most downloaded works on the Social Science Research Network, which is run by ELSEVIER.
Soliman is a senior member at the Institute of Industrial and Systems Engineers and a member with the Society for Engineering and Management Systems. He has published more than 60
- Autor: Mohammed Hamed Ahmed Soliman
- 2020, Englisch
- Verlag: personal-lean.org
- ISBN-10: 8223821206
- ISBN-13: 9798223821205
- Erscheinungsdatum: 02.11.2020
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- Dateiformat: ePub
- Größe: 16 MB
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