Muhammad Ilyas Mazhar

A Review of Machinery Diagnostics and Prognostics Implemented on a Centrifugal Pump

Centrifugal pumps are a widely used machine found in industries such as water, sewerage, oil, and gas. As a result, it is vital that these pumps are monitored, diagnosed, maintained, or replaced prior to the pump failing to reduce downtime, material, and labour costs. Most companies employ a run-to-fail method or a time-based maintenance strategy to service their pumps, instead of condition based maintenance or a predictive maintenance strategy. This paper reviews the state of art in diagnostics and prognostics pertaining to centrifugal pumps. Attention is given to detailing the methods of application, detection of fault modes and results used by researchers in the main areas of diagnostics and prognostics.

Assessing the reliability of system modules used in multiple life cycles

This paper presents a reliability assessment model for maintenance and reliability engineers to determine the reusability potential of system modules based on their operating lives and, the pre-determined lifecycle of the parent product. In the first phase, the paper considers the time-to-failure of system modules to determine their overall operating life under normal operating conditions. Then, it determines the maximum number of lifecycles of the modules under consideration, which is a function of the modules’ total functional life and the product lifecycle. The functional potential of the modules is then discussed with reference to the probability of their failure. The study employs Weibull analysis for carrying out this analysis. The methodology was validated by using lifecycle data from a consumer product. The findings show that some of the components/modules of the product have a remarkable amount of residual life, which can be utilized by reusing these components in the next generation of the product. The results demonstrate the effectiveness and practicality of this multiple-use strategy. The study provides more perspectives to future research in the field of reliability, and decision-making on maintenance management and value recovery through multiple uses of system modules.