Careful design and preparation of drilling fluids with appropriate rheology and filtration
properties, combined with operational monitoring, is essential for successful drilling …

This research work put forward an intelligent method for diagnosis and classification of
power transformers faults based on the instructive Dissolved Gas Analysis Method (DGAM) …

Nature-inspired metaheuristic algorithms are considered as the most effective techniques for
solving various optimization problems. This paper provides a briefly review of the key …

The control chart patterns are the most commonly used statistical process control (SPC)
tools to monitor process changes. When a control chart produces an out-of-control signal …

The productions quality has become one of the essential issues in the modern
manufacturing industry and several techniques have introduced for control and monitoring …

In this article, a novel fuzzy proportional integral derivative (PID) controller with filtered
derivative action and fractional order integrator (fuzzy PIλDF controller) is proposed to solve …

Abstract Archimedes Optimization Algorithm (AOA) is a new physics-based optimizer that
simulates Archimedes principles. AOA has been used in a variety of real-world applications …

As the most practical quality control process monitoring tool, control chart patterns (CCPs)
can determine abnormal conditions in the production process. Therefore, automatic and …

Unconventional machining processes (communally named advanced or modern machining
processes) are widely used by manufacturing industries. These advanced machining …

The CHPED (combined heat and power economic dispatch) is a complex engineering
optimization problem. The goal is to minimize the system production costs by taking into …