Machinery Diagnostics
For as long as there have been machines, there have been maintenance issues, uncertainties regarding reliability, and failures. Yet, the impact of such occurrences has significantly changed as manufacturing has moved away from the manual labor of the Indu
- PDF / 768,821 Bytes
- 24 Pages / 504.567 x 720 pts Page_size
- 120 Downloads / 239 Views
For as long as there have been machines, there have been maintenance issues, uncertainties regarding reliability, and failures. Yet, the impact of such occurrences has significantly changed as manufacturing has moved away from the manual labor of the Industrial Revolution to the electromechanical systems of today’s technology-driven society. With an ever-increasing reliance on expensive and complex machines, machinery failures significantly affect company profits, largely due to the loss of equipment availability, the cost of spare parts, the risk of injury to people, and the possibility of damage to the environment. The response of such pressures from industrial concerns and government agencies has been to demand that maintenance systems minimize the risks of equipment failure. In turn, this has spurred technology advances in providing a means to monitor and assess the condition of tribological elements and mechanical systems, rather than waiting until failures occur or replacing parts as a matter of routine. The aim of this chapter is to present these technologies for machinery diagnosis in terms of failure prevention strategies and condition monitoring approaches, and suggest
R. S. Cowan (&) W. O. Winer The Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 801 Ferst Drive, N.W, Atlanta, GA 30332-0405, USA e-mail: [email protected] W. O. Winer e-mail: [email protected]
19
how they can be applied so as to lead to the effective management of equipment assets.
19.1
Failure Prevention Strategies
Machine failures happen in many different ways and for many different reasons. To prevent their occurrence at an inopportune time, a strategy can be employed based on learning from past events, understanding present performance, and adopting a cost-effective maintenance approach.
19.1.1 Root-Cause Analysis When something fails, the limitations of a design can be quickly understood. While success enables one to see the possibilities for reducing conservatism by subjecting machinery to more demands, it is only in failure that boundaries are defined and much can be learned to increase safety and reliability, and decrease manufacturing and operating costs. Failure analysis methodologies have progressed to the point of becoming somewhat routine, simple, and straightforward. It is imperative that evidence is cataloged and all steps and parts are fully documented to preserve a thorough record. Before defining the analytical steps required for a failure investigation, one must first determine what will be done with the information gained. For instance, will the failure mode information be used to model the failure, such
H. Czichos (ed.), Handbook of Technical Diagnostics, DOI: 10.1007/978-3-642-25850-3_19, Ó Springer-Verlag Berlin Heidelberg 2013
387
388
19.1.2 Statistical Control Statistical control can be broadly defined as those mathematical and engineering methods useful in the measurement, monitoring, and improvement of quality. It dates back to the 1920s with the developme
Data Loading...
