Knowledge-based prognostics and health management of a pumping system under the linguistic decision-making context

J Peng, G Xia, Y Li, Y Song, M Hao - Expert Systems with Applications, 2022 - Elsevier
The process industry implements important maintenance strategies on the basis of the
health status of system operation to reduce engineering maintenance cost and concurrently …

A fuzzy inference system for pump failure diagnosis to improve maintenance process: The case of a petrochemical industry

A Azadeh, V Ebrahimipour, P Bavar - Expert Systems with Applications, 2010 - Elsevier
Pump operating problems may be either hydraulic or mechanical and there is
interdependence between the failure diagnoses of these two categories. Consequently, a …

Integrated hazard and operability study using fuzzy linguistics approach in petrochemical industry

M Ilangkumaran, P Thamizhselvan - International journal of quality & …, 2010 - emerald.com
Purpose–This paper aims to investigate the failure modes present in the dangerous
operations and modify processes. After the identification of potential failures, prioritization …

Knowledge based engineering approach for subsea pipeline systems' FFR assessment: A fuzzy expert system

RMC Ratnayake - The TQM Journal, 2016 - emerald.com
Purpose–The purpose of this paper is to focus on developing a knowledge-based
engineering (KBE) approach to recycle the knowledge accrued in an industrial organization …

Prioritization of maintenance tasks on industrial equipment for reliability: a fuzzy approach

E Vijay Kumar, SK Chaturvedi - International Journal of Quality & …, 2011 - emerald.com
Purpose–This paper aims to prioritize preventive maintenance actions on process
equipment by evaluating the risk associated with failure modes using predictive …

FLM to select suitable maintenance strategy in process industries using MISO model

RK Sharma, D Kumar, P Kumar - Journal of Quality in Maintenance …, 2005 - emerald.com
An approach based on fuzzy linguistic modeling is used to select the most effective and
efficient maintenance strategy. Three input parameters, ie historical data (I 1), present data (I …

A big data driven sustainable manufacturing framework for condition-based maintenance prediction

A Kumar, R Shankar, LS Thakur - Journal of computational science, 2018 - Elsevier
Smart manufacturing refers to a future-state of manufacturing and it can lead to remarkable
changes in all aspects of operations through minimizing energy and material usage while …

Methodology and framework of a cloud-based prognostics and health management system for manufacturing industry

J Lee, S Yang, E Lapira, HA Kao, N Yen - Chemical engineering …, 2013 - cetjournal.it
Abstract Prognostics and Health Management (PHM) as a research discipline has been
extensively studied in recent years, with many sophisticated techniques and intelligent …

A fuzzy expert system for mitigation of risks and effective control of gas pressure reduction stations with a real application

R Nourian, SM Mousavi, S Raissi - Journal of loss prevention in the process …, 2019 - Elsevier
Environmental changes and increased uncertainty due to technical damage, explosions and
large fires have caused the risk of an inevitable element in the gas industry. This study …

[HTML][HTML] Manufacturing process innovation-oriented knowledge evaluation using MCDM and fuzzy linguistic computing in an open innovation environment

G Wang, X Tian, Y Hu, RD Evans, M Tian, R Wang - Sustainability, 2017 - mdpi.com
In today's complex, constantly evolving and innovation-supporting manufacturing systems,
knowledge plays a vital role in sustainable manufacturing process planning and problem …