Probe Improvement of Inductive Sensor for Online Health Monitoring of Mechanical Transmission Systems

2015 ◽  
Vol 51 (11) ◽  
pp. 1-4 ◽  
Author(s):  
Chao Wang ◽  
Xiao Liu ◽  
Zhe Chen
Author(s):  
Vikram Sridhar ◽  
Kam Chana

Health monitoring of mechanical transmission systems is an important area of research. Mechanical transmission systems, especially gear boxes in aircraft, automobiles, and wind turbines etc. account for many of the maintenance costs due to repairs, replacements and downtime. Gear boxes can experience high level of failure due to varied load conditions and harsh environments. Replacing the gear box is quite an expensive process and has significant downtime. Current gear box monitoring involves mainly measuring vibrations, however vibrations occur when the fault in the gear has already progressed significantly. Gear teeth monitoring lacks sensor technology to successfully detect tooth damage and misalignment. This paper presents a new concept gear teeth damage detection using eddy current sensors fitted on to the teeth of an idler gear at various locations. These sensors detect various faults encountered in a gear such as micro and macro pitting of the tooth surface, contact wear etc. Eddy current sensors are already being used to detect turbomachinery blade vibrations and tip clearance as they are robust and immune to contamination. In the present case, we use an idler gear that incorporates miniature eddy current sensors and state of the art electronics with wireless data transmission to enable the device to operate remotely and in harsh environments. A rotating rig with gears (spur and helical) and oil supply was built to test and validate the sensor by seeding various faults on the tooth surface. The results show that the idler sensor gear was able to detect various faults. The new eddy current sensor idler gear concept will enable health monitoring of the gearbox and ensure timely maintenance and reduction in operation costs.


Author(s):  
C. P. Huang ◽  
F. W. Liou ◽  
J. J. Malyamakkil ◽  
W. F. Lu

Abstract This paper presents an advisory conceptual design tool for mechanical transmission systems. Space consideration was taken into account during the design process. A prototype function tree was built in the form of knowledge-based system to transfer a designer’s idea into a set of mechanical components. An advisory expert system was also developed to help a designer in decision making. As an example, a packaging machine is designed using the developed system.


1994 ◽  
Author(s):  
Anders Hedman

Methods for analysis of general mechanical transmission systems with a hydrodynamic torque converter (HTC) are presented. The methods are adapted for computer calculations. The properties of the HTC must be known, either explicitly as speed and torque characteristics, or implicitly as internal geometry (blade angles, etc.). Linear relationships between the torques and between the speeds of the shafts of the transmission system (except the HTC) are easily formulated. The HTC has coupled, non-linear, relationships for torques and speeds. Different ways of including these non-linear equations are presented. This can be implemented in a computer program. Solving the equation system yields the torque and speed of each shaft of the transmission system. Power losses can be handled.


Author(s):  
El-Sayed Aziz ◽  
C. Chassapis

Product development is a process with complicated procedures, which incorporate many aspects of knowledge, experience and teamwork. Specifically, mechanical system design requires an iterative process to determine the desired component design parameters that would satisfy kinematic, performance and manufacturability requirements, which would result in an efficient and reliable operation of speed reduction units. This article describes an approach towards the development of intelligent design support environments for mechanical transmission systems, along with implementation details of a distributed knowledge-based gearing design and manufacturing system that is deployed over the Internet. The system embodies the various tasks of the design process, with modules that address: performance evaluation, process optimization, manufacturability analysis, and provides reasoning and decision-making capabilities for reducing the time between gear tooth creation, detailed design and final production. This methodology is highly desirable in that it is able to simulate real working conditions, evaluate and optimize the design effectively, prevent designers from time-consuming iterations and reduce long and expensive test phases. In an application example relating to process design of a forged gearing system, once a successful power rating is achieved within the design environment through FEA based techniques, the system automatically feeds input parameters into the manufacturing module which carries out all process design and planning stages. Estimation of the number of preforming stages, generation of detail die drawings, and forging load and energy requirements are calculated based on available material design databases, knowledge-based rules and feature-level calculations. Utilization of the World Wide Web, as a medium for the implementation of gear design and its agile manufacturing over the Internet is also being demonstrated. A combination of HTML, JavaScript, VRML, CGI Script and C++ based procedures is used to bring this capability to users distributed anywhere in the world. With the above developments, the problems of experience and expertise for the designers are overcome and unexpected design iterations that cause wastage of engineering time and effort, are avoided. The environment can be easily enhanced with other types of gearing systems.


1944 ◽  
Vol 11 (1) ◽  
pp. A41-A46
Author(s):  
G. Horvay ◽  
S. Pines

Abstract A method is given which simplifies the analysis of mechanical transmission systems without making use of “electrical analogies.” The method is applied to the problem of the viscous vibration damper.


2013 ◽  
Vol 572 ◽  
pp. 447-450
Author(s):  
Xiao Hui Chen ◽  
Lei Xiao ◽  
Zhen Xiang Liu ◽  
Chuang Liu

There are several types of the mechanical transmission failure, such as gear tooth broken, fatigue, pitting etc. The deterioration pattern of each failure varies according to the different environment. Furthermore, setting up the fault prediction model is quite difficult, especially at the early stage of the fault. In order to predict the prophase failure of the mechanical transmission systems depends on the condition monitoring signal, this paper researched on the biological evolutionary algorithm combined with other artificial intelligence algorithm. As the case study, the typical failure of the gearbox test-bed, for example gear tooth broken or fatigue at the test-bed was monitored by several sensors. An improved support vector machine (SVM) optimized by genetic algorithm (GA) was chosen to predict the prophase failure of the gear, due to its self-adaption and self-learning ability. The prediction results showed that it simulated the failure pattern well on the condition of a few sample data.


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