Predictive maintenance for the heated hold-up tank

Abstract

We present a numerical method to compute an optimal maintenance date for the test case of the heated hold-up tank. The system consists of a tank containing a fluid whose level is controlled by three components: two inlet pumps and one outlet valve. A thermal power source heats up the fluid. The failure rates of the components depends on the temperature, the position of the three components monitors the liquid level in the tank and the liquid level determines the temperature. Therefore, this system can be modeled by a hybrid process where the discrete (components) and continuous (level, temperature) parts interact in a closed loop. We model the system by a piecewise deterministic Markov process, propose and implement a numerical method to compute the optimal maintenance date to repair the components before the total failure of the system.

Availability Analysis of the Critical Production System in SMEs Using the Markov Decision Model

“…e heated holdup tank's predictive maintenance (PdM) management system in a thermal power plant has been explored. ey used the piecewise-deterministic Markov process to analyze the subsystems (inlet pumps, control valves) of a thermal power plant and offer the best decision-making for PdM in a power plant [21].…”

Integrating Modelling of Maintenance Policies within a Stochastic Hybrid Automaton Framework of Dynamic Reliability

“…The decision-making process determined that equipment may not benefit from frequent maintenance in terms of both availability and cost. In [37] the authors developed a numerical method based on piecewise deterministic Markov process to determine the optimal maintenance time for a heated hold-up tank. In [38] the authors studied the reliability centered maintenance strategies for process plants.…”

An algorithm for the computationally efficient deductive implementation of the Markov/Cell-to-Cell-Mapping Technique for risk significant scenario identification

“…3 shows the example level control system under consideration [1]. This system was first presented in [1] and then used in a number of studies to illustrate dynamic probabilistic risk assessment and reliability methodologies, including [22][23][24][25][26]. The level control system consists of a water tank, two water supply units (Unit1 and Unit 2) and one drain unit (Unit 3).…”