Augmented-reality-based mechanical fault diagnosis method

Jing Honglei; Nie Jing; Zhang Nian
October 2014
Advanced Materials Research;2014, Issue 1044-1046, p720
Academic Journal
With the rapid development of modern society, the industrial mechanized production reached unprecedented climax in this era. Science and technology advance increasingly, modern equipment from structure to function tends to be complex and improved, and gradually achieve a high degree of automation. However, due to the inevitable factors such as wear and tear, abrasion and chemicals infection, machinery equipment will inevitably appear unforeseen fault, causing the machine to detract from the performance, or even causing serious economic losses. Therefore, mechanical fault diagnosis can reduce equipment accident rate and ensure the long-term stable operation of the device. And applying the augmented reality to machinery fault diagnosis method research can maximize the efficiency of mechanical fault diagnosis and equipment efficiency. This article explores the prospects for the development of mechanical fault diagnosis methods based on the theoretical basis and application value of augmented reality.


Related Articles

  • A New Hybrid Approach for Augmented Reality Maintenance in Scientific Facilities. Martínez, Héctor; Laukkanen, Seppo; Mattila, Jouni // International Journal of Advanced Robotic Systems;Sep2013, Vol. 10 Issue 9, p1 

    Maintenance in scientific facilities is a difficult issue, especially in large and hazardous facilities, due to the complexity of tasks and equipment. Augmented reality is a technology that has already shown great promise in the maintenance field. With the help of augmented reality applications,...

  • An Iterative Approach to Trustable Systems Management Automation and Fault Handling. McLarnon, Barry; Robinson, Philip; Milligan, Peter; Sage, Paul // Journal of Network & Systems Management;Jul2014, Vol. 22 Issue 3, p366 

    Automated systems management solutions aim to reduce the pressure on the administrators of complex, large-scale, distributed systems by enabling the automation of many of the common tasks of management. However, this creates a level of abstraction, which can act as a barrier between the...

  • Functional design for troubleshooting Simulation of Distribution Automation and software of training system. Wang Guoyou; Su Biaolong; Sun Li; Cao Xudong // Advanced Materials Research;2014, Vol. 1092-1093, p267 

    The simulation of distribution automation troubleshooting and the functional design of training system software is discussed by this article, Including: basic platform capabilities, the Decision Analysis of Auxiliary power failure, Power operation mode for load transfer analysis, the ring...

  • A Centralized State Repository Approach to Highly Scalable and High-Availability Parallel Firewall. Kasom Koht-arsa; Surasak Sanguanpong // Journal of Computers;Jul2013, Vol. 8 Issue 7, p1664 

    Conventional high-availability stateful parallel firewall suffers from low scalability due to two overlapping requirements: workload distribution and redundancy. To achieve high throughput, load-distribution with complex algorithm is conventionally employed, consuming a lot of resources and...

  • Design of a Reliability Model under Different Fault based Parameters. Mehta, Yukti; Jatain, Aman // International Journal of Computer Applications;Mar2014, Vol. 90, p1 

    Software fault analysis is on major vector adopted by different researchers to analyze the software reliability. But most of the author taken the fault individually as the fault criticality or the fault count. But in this presented work we have considered all aspects of software faults i.e....

  • Parallel Overlapping Community Fast Detection Model Based on Local Modularity. Min Xu; Lijuan Zhou; Hui Liu // Information Technology Journal;2013, Vol. 12 Issue 5, Special section p1 

    There are many communities in the complex network usually and the communities having these overlapping nodes in many occasion. How to detect community structures in complex network with quick and accurate methods become a hot topic in computer science, system science and social science and other...

  • Sampling Network Motif Detection Algorithm Based on Subgraph Extending and Subgraph Support Value. Jiawei Luo; Fengrong Zhu // Information Technology Journal;2013, Vol. 12 Issue 5, Special section p1 

    Network motifs play an important role in biological networks but the detection is computing complex and time consuming. Sampling method has been used in network motif detection to decrease calculated amount, however the inevitable sampling error influences the result validity seriously. In order...

  • Control Flow Deobfuscation Method Based on Path Feasibility Analysis. Jing An; Wen Huang; Jinxin Zhong; Yixian Yang // Advances in Information Sciences & Service Sciences;Sep2012, Vol. 4 Issue 16, p296 

    Malwares are often confused with a variety of methods against disassembling and anti-debug techniques. So these malware should be deobfuscated first for program analysis. In this paper, we propose a control flow deobfuscation method based on path feasibility analysis. This method executes the...

  • Semantic Artificial Immune Model for Fault Diagnosis. Chu-jiao Wang; Shi-xiong Xia; Yong Zhou // Journal of Computers;Aug2013, Vol. 8 Issue 8, p2059 

    Applying artificial immune system to fault diagnosis is a new development direction in artificial intelligence, but the traditional artificial immune mode could not reasonably reflect the semantic similarity in the complexity problem space. For issues of semantic description of fault diagnosis,...


Read the Article


Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics