Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The rotating machinery for engineering process and materials science has become faster and lightight recently. The machinery has been required to run for longer periods of time and reliable operations. Because machine breakdowns and consequent down times severely affect the productivity of factories or the safety of products and process success depends on the reliability and the efficiency of related key components, the requirements for enhanced reliability of equipment are more critical than ever before. Firstly, this paper describes applying vibration theory to detect machinery fault via the measurement of vibration and voice monitoring machinery working condition.  proposes a useful way of vibration analysis and source identification in complex machinery. An actual experiment case study on a cold-roll press machine has been conducted in aluminum factory. Based on intensity measure, statistical and FFT frequency analysis methods, the experiment results indicate that fer sensors and less measurement and analysis time can achieve condition monitoring, fault diagnosis, and damage forecasting. As a result, lor in running operation and maintenance costs and increased in productivity and efficiency can be achieved.
['Jian-Qing Dai', 'C. L. Chen', 'Xiaoyan Xu', 'Peng Hu']
I am writing a research paper on a idea Condition monitoring on complex machinery for predictive maintenance and process control
[{"from": "human", "value": "I am writing a research paper on a idea Condition monitoring on complex machinery for predictive maintenance and process control"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The rotating machinery for engineering process and materials science has become faster and lightight recently. The machinery has been required to run for longer periods of time and reliable operations. Because machine breakdowns and consequent down times severely affect the productivity of factories or the safety of products and process success depends on the reliability and the efficiency of related key components, the requirements for enhanced reliability of equipment are more critical than ever before. Firstly, this paper describes applying vibration theory to detect machinery fault via the measurement of vibration and voice monitoring machinery working condition.  proposes a useful way of vibration analysis and source identification in complex machinery. An actual experiment case study on a cold-roll press machine has been conducted in aluminum factory. Based on intensity measure, statistical and FFT frequency analysis methods, the experiment results indicate that fer sensors and less measurement and analysis time can achieve condition monitoring, fault diagnosis, and damage forecasting. As a result, lor in running operation and maintenance costs and increased in productivity and efficiency can be achieved."}]