Dear experts and scholars in the turbine machinery industry at home and abroad
In order to explore the cutting-edge technology and future development direction of the turbine machinery industry, and enhance the independent innovation and technological progress of New Doug Technology, our company (full name: Jiangsu New Doug Automatic Control Technology Co., Ltd.) will present the 4th China International Turbine Machinery Conference and Exhibition from October 31 to November 2 with a consistent innovative perspective and exquisite quality.
At that time, the general manager of our company, Cheng Minggang, will share the technical report of "Technical Condition Assessment and Fault Detection of Rotating Machinery Based on Vibration Signals" at the branch meeting.
Report Summary:
As an important power device, rotating machinery is widely used in power generation, ship, aviation and other fields. The reliability and stability of its operation affect the efficiency of the manufacturing process, and plays an extremely important role in the national economy. With the increasing complexity and automation of the rotating machinery system, the working state of the key components of the equipment has seriously affected the changes in the performance of the mechanical equipment. Therefore, the technical state evaluation and fault detection of the key components of the equipment has been the focus of the research on the fault diagnosis of rotating machinery. At present, the main detection methods include: diagnosis using vibration information, diagnosis using noise information, diagnosis using temperature information, diagnosis using pressure information, diagnosis using acoustic emission information, determination of metal content in oil, and diagnosis using metallography.
Among many fault diagnosis technologies, no technology can better reflect the condition of mechanical equipment than vibration signal analysis. During the operation of mechanical equipment, there are various static or dynamic parts and components in many mechanical equipment systems. Due to the imbalance of forces and the different mechanical properties inside the parts and components, there are vibrations in varying degrees. The strength of vibration and noise and the main frequency components contained are closely related to the type, degree, location and cause of the fault, and these vibrations are often related to the operating state of the machine.
On the basis of analyzing the current status of condition monitoring and equipment fault diagnosis, this report will describe the vibration signal and its applicability in equipment technical condition evaluation and fault detection in detail, and then briefly explain the actual application effect through two cases.
As an important power device, rotating machinery is widely used in power generation, ship, aviation, petrifaction and other fields.  The reliability and stability of its operation affect the efficiency of manufacturing process and play an extremely important role in the national economy.  With the increasing complexity and automation of rotating machinery system, the technical state of key parts of equipment seriously affects the changes of mechanical equipment performance.  Therefore, it is always the research focus to carry out the technical state assessment and fault diagnostic of key parts of rotating machinery.  At present, there are several main diagnostic methods, such as vibration information based diagnosis, noise information based diagnosis, temperature information based diagnosis, pressure information based diagnosis, acoustic emission information based diagnosis, metal particles in oil based diagnosis, metallographic based diagnosis, etc. In these methods,  no one can reflect the status of mechanical equipment better than vibration signal analysis.  In the process of mechanical equipment operation, there are many kinds of static or dynamic parts in the mechanical equipment systems.  Due to the imbalance of forces and the different mechanical properties of parts, vibration and noise exist to varying degrees.  The strength of vibration and noise and their main frequency components are closely related to the type, severity, location and cause of the fault, and these vibrations are often related to the technical state of the machine.  Based on the analysis of the current status of condition monitoring and equipment fault diagnostic, this report will describe the vibration signal and its applicability in equipment technical condition assessment and fault diagnostic in detail, and then briefly explain the practical application effect through two cases.
Chengmin Steel
Master's degree and doctor's degree in precision mechanical engineering from Tokyo University, Japan.
Associate professor/senior engineer, currently CEO of Jiangsu New Doug Automatic Control Technology Co., Ltd. and CEO of Jiangyin Baoxin Information Technology Co., Ltd.
Leading talents of Jiangsu innovation team
Wuxi Taihu Lake Talents
Jiangyin emerging industry entrepreneurship leading talents
Jiangsu Province Industry Professor, Master Tutor of Hefei University of Technology
Jiangsu Provincial Innovation and Entrepreneurship Project Evaluation Expert
Member of China Association of Artificial Intelligence
Consulting expert of National Smart City Science and Technology Society
The main drafter of the Implementation Guide for the Integration of Informatization and Industrialization in Jiangsu Province.
Our company is a high-tech enterprise and a private science and technology enterprise in Jiangsu Province specialized in the R&D, production and sales of sensors, industrial control equipment, rotating machinery status monitoring protection and fault diagnosis system and other products. It is one of the manufacturers with relatively large production scale in the same industry in China. We look forward to more exchanges and understanding with partners in the industry.
Our vibration-based technical status assessment and fault detection, with the help of cloud platform and big data technology, advanced sensor integration, and various algorithms and intelligent models, can obtain equipment operation information, extract equipment feature information, accurately predict, diagnose, monitor and manage the status of rotating equipment, and can achieve effective early warning and fault diagnosis functions.
Change the traditional focus on mechanical repair to focus on the acquisition, processing and transmission of information and making maintenance decisions. It has important application value in the condition management of turbine machinery and equipment.
At this academic conference and exhibition, our company will bring a series of products to the A3 booth for display. All parties are welcome to understand and consult! We sincerely welcome your presence and look forward to in-depth exchanges with you and sharing the grand event!
China International Conference on Turbomachinery (CITC) is the only series of academic conferences held every two years in the domestic turbomachinery industry. The meeting discussed the latest research results and development trends of the turbine machinery industry around the application of relevant basic theories and engineering technologies in the turbine machinery industry. By building a platform that integrates basic research and industrial development needs, we can promote academic exchanges, enhance close contact and cooperation between academic and industrial circles in the turbine machinery industry at home and abroad, accelerate independent innovation and technological progress of enterprises, and promote technological innovation and development of the entire industry.
New Doug Technology attaches great importance to and actively prepares
October 31 - November 2
Nanchang Rongchuang Wanda Wenhua&Jiahua Hotel
Looking forward to meeting with you for in-depth communication