Related Experiment Video
Updated: May 17, 2026
05:47
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
Published on: August 29, 2025
Performance analysis of complex repairable industrial systems using PSO and fuzzy confidence interval based
1Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India. harishg58iitr@gmail.com
ISA Transactions
|October 27, 2012
Summary
This study introduces a new method for analyzing complex industrial systems, optimizing design parameters like mean time between failures (MTBF) and mean time to repair (MTTR) under uncertainty. The approach improves system efficiency and reliability using fuzzy logic.
Area of Science:
- Industrial Engineering
- Reliability Engineering
- Operations Research
Background:
- Optimizing complex repairable industrial systems is challenging due to uncertain data and resource limitations.
- Determining optimal design policies for Mean Time Between Failures (MTBF) and Mean Time To Repair (MTTR) is crucial for system efficiency.
- Existing methods struggle to effectively handle data uncertainties in reliability analysis.
Purpose of the Study:
- To propose a novel methodology for analyzing the behavior of complex repairable industrial systems.
- To develop an availability-cost optimization model for determining optimal design parameters.
- To address uncertainties in component data using fuzzy and statistical methods.
Main Methods:
- An availability-cost optimization model was constructed to determine optimal design parameters.
- Triangular fuzzy numbers were used to estimate uncertainties in component data.
- The Confidence Interval based Fuzzy Lambda-Tau (CIBFLT) methodology was proposed to compute reliability parameters as fuzzy membership functions.
Main Results:
- The CIBFLT methodology effectively computes reliability parameters under data uncertainty.
- A comparison with the existing fuzzy Lambda-Tau methodology demonstrated the effectiveness of the proposed approach.
- Sensitivity analysis on system MTBF was performed, providing insights into parameter influence.
Conclusions:
- The proposed CIBFLT methodology offers an improved approach for the reliability analysis of complex industrial systems.
- The methodology successfully integrates fuzzy logic and statistical methods to handle data uncertainties.
- The study provides a practical framework for optimizing system design parameters, as illustrated by a paper industry case study.
Related Concept Videos
01:10Control Systems
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
At the heart...
01:25Distribution Reliability and Automation
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
01:25Multimachine Stability
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
01:24PI Controller: Design
Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...
01:21Power System Three-Phase Short Circuits
Determining the subtransient fault current in a power system involves representing transformers by their leakage reactances, transmission lines by their equivalent series reactances, and synchronous machines as constant voltage sources behind their subtransient reactances. In this analysis, certain elements are excluded, such as winding resistances, series resistances, shunt admittances, delta-Y phase shifts, armature resistance, saturation, saliency, non-rotating impedance loads, and small...
01:22Design Consideration
Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
The factor of safety is another key aspect...
The factor of safety is another key aspect...