Investigation of Leakage on Water Wall Tube in a 660 MW Supercritical Boiler

Nurbanasari, Meilinda; Abdurrachim,

doi:10.1007/s11668-014-9861-z

Cited by 6 publications

(4 citation statements)

References 1 publication

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“…In addition, the stability of the steam system becomes worse, and fault discrimination becomes more obvious. (5) The research method can be extended to various types of boiler pipe leakage. The research results can provide enough reliable samples for fault diagnosis research, and the suggestions to distinguish the micro-leakage fault of evaporation can be used for early fault detection and late fault diagnosis of the crew.…”

Section: Discussionmentioning

confidence: 99%

“…In the research field of boiler system leakage and tube-burst failures, the main research method is structural chemical analysis due to the destructive nature of a physical experiment. Nurbanasari, Abdulrachim, etc., conducted a case analysis based on the leakage fault of a 660 MW supercritical boiler [5]. Facai Rena, Jinsha Xu, etc., conducted a failure analysis on the leakage of a circulating fluidized bed boiler water wall pipeline [6].…”

Section: Introductionmentioning

confidence: 99%

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Discriminability Analysis of Characterization Parameters in Micro-Leakage of Turbocharged Boiler’s Evaporation Tube

Xia

Geng

et al. 2022

Energies

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It is extremely dangerous for a turbocharged boiler to have a leakage fault in its vaporization tube. However, early detection and fault diagnosis of micro-leakage faults are very difficult. On the one hand, there are few fault samples that lead to a difficult and intelligent diagnosis. On the other hand, the system fault response characteristics of the characterization parameters in the process are complex and easily confused with the load-changing characteristics. In order to obtain fault samples and identify fault characteristics, a fault simulation model for the micro-leakage of the boiler evaporation tube is established based on the dynamic mathematical model of all working conditions. The model’s effectiveness is verified by typical fault experiments. The dynamic simulation experiments of three kinds of micro-leakage and four kinds of load changing were carried out. Through the analysis of combustion equilibrium and vapor-liquid equilibrium of 14 groups of characterization parameters, it is found that: (1) The reason for the poor discriminability in micro-leakage faults is that most of the characterization parameters tend to balance after 300 s and the dynamic response characteristics are similar to those of load increase. (2) There are four highly distinguishable parameters: the speed of the turbocharger unit, the air supply flow, the flue gas temperature at the superheater outlet, and the furnace pressure. When the micro-leakage fault is triggered, the first three parameters have a large disturbance. They show a trend of decreasing first and then increasing in short periods, unlike normal load-changing conditions. The fourth parameter (furnace pressure) rises abnormally fast after failure. (3) Under the normal working condition of varying loads, the main common parameters take 300 s to stabilize; the common stability parameter values should be recorded because when the micro-leakage fault of evaporation occurs, the steady-state increment of failure is larger than the normal steady increment under variable load conditions, by 2 to 3 times. (4) As the leakage fault increases, the disturbance amplitude of the characteristic parameters becomes larger. In addition, the stability of the steam system becomes worse, and fault discrimination becomes more obvious.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Discriminability Analysis of Characterization Parameters in Micro-Leakage of Turbocharged Boiler’s Evaporation Tube

Xia

Geng

et al. 2022

Energies

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“…Leakage in the waterwall tube is a serious problem, and various studies have been conducted to examine waterwall tube failure. Nurbanasri et al [33] carried out a microstructural analysis of waterwall tubes and observed that cracks were initiated due to defects that occurred during the welding process. Ahmad et al [34] investigated the failure mechanisms in rear waterwall tubes.…”

Section: Waterwall Tube Failure Analysismentioning

confidence: 99%

Intelligent Steam Power Plant Boiler Waterwall Tube Leakage Detection via Machine Learning-Based Optimal Sensor Selection

Khalid

Lim

Kim

et al. 2020

Sensors

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Boiler waterwall tube leakage is the most probable cause of failure in steam power plants (SPPs). The development of an intelligent tube leak detection system can increase the efficiency and reliability of modern power plants. The idea of e-maintenance based on multivariate algorithms was recently introduced for intelligent fault detection and diagnosis in SPPs. However, these multivariate algorithms are highly dependent on the number of input process variables (sensors). Therefore, this work proposes a machine learning-based model integrated with an optimal sensor selection scheme to analyze boiler waterwall tube leakage. Finally, a real SPP test case is employed to validate the proposed model’s effectiveness. The results indicate that the proposed model can successfully detect waterwall tube leakage with improved accuracy vs. other comparable models.

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“…Membrane water wall is widely used in power plant boilers because of its reliably sealing, high heat absorption efficiency and ease of suspension [3]. However, attention must be paid to the occurrence of misuse of material [4], ash accumulation on the outer wall, cocking, scaling, local uneven heating, welding defects of the water wall tube [5][6][7], unqualified coal [8] and water [9] and water hammer phenomenon [10]. Otherwise, it will affect the heat transfer efficiency.…”

Section: Introductionmentioning

confidence: 99%

Failure Analysis of a Deep Pit on the Inner Wall of Water Wall Tube in a Power Plant

Zhang¹,

Fang²,

Tao³

et al. 2023

J. Phys.: Conf. Ser.

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A deep pit on the inner wall of a water wall tube of a 600MW boiler was found at the extension end of the front of the furnace during an overhaul after 200 thousand hours of operation. To investigate the causes of the failure, various techniques including macroscopic inspection, chemical composition analysis, microstructural analysis, mechanical performance testing, scanning electron microscope (SEM) observation and energy dispersive spectroscopy (EDS) analysis were carried out. The results of investigations showed that the chemical composition of the as-received tube conformed with SA-178 Grade C and the mechanical properties were qualified. EDS analysis revealed that the main elements of the deposit on the surface of the pit were iron and oxygen, along with phosphorus, potassium and aluminium, which were identified with the constitutes of the under deposit corrosion products. Based on the results, the cause of the failure is under deposit corrosion. Possible measures to combat the corrosion were proposed.

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Investigation of Leakage on Water Wall Tube in a 660 MW Supercritical Boiler

Cited by 6 publications

References 1 publication

Discriminability Analysis of Characterization Parameters in Micro-Leakage of Turbocharged Boiler’s Evaporation Tube

Discriminability Analysis of Characterization Parameters in Micro-Leakage of Turbocharged Boiler’s Evaporation Tube

Intelligent Steam Power Plant Boiler Waterwall Tube Leakage Detection via Machine Learning-Based Optimal Sensor Selection

Failure Analysis of a Deep Pit on the Inner Wall of Water Wall Tube in a Power Plant

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