Automatic diagnosis knowledge acquisition has become reality. A hydraulic system fault of excavator was given as an example to design an expert system with the function of complex reasoning and explanation. It provides a reference for hydraulic excavator of the use of management and fault maintenance personnel to solve excavator problems.
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Playing an important role in electromechanical systems, hydraulic servo system is crucial to mechanical systems like engineering machinery, metallurgical machinery, ships, and other equipment. Fault diagnosis based on monitoring and sensory signals plays an important role in avoiding catastrophic accidents and enormous economic losses. This study presents a fault …
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The hydraulic system fault monitoring and diagnosis of the engineering machinery is to use modern scientific and technological means and equipment, to detect the oil state, speed, noise and leakage condition of the hydraulic motor and hydraulic cylinder, such as the basic parameters of temperature, pressure, flow and so on in the hydraulic
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Expert systems [2–4]. To detect excavator anomalies, the authors in [2] discussed an expert system framework for failure detection and predictive maintenance (FDPM) of a mine excavator. FDPM includes an expert system engine and a mathematical knowledge base for fault detection and the corresponding repairing under various conditions.
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Although expert systems are easy to use and able to provide expert knowledge to solve a specific domain problem, there are many difficulties in using this approach (J. M. David and J. P. Krivine, "Three Artificial Intelligence Issues in Fault Diagnosis: Declarative Programming, Expert Systems, and Model-Based Reasoning," Proceedings of the
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Sep 06, 2019 · Hydraulic systems have the characteristics of strong fault concealment, powerful nonlinear time-varying signals, and a complex vibration transmission mechanism; hence, diagnosis of these systems is a challenge. To provide accurate diagnosis results automatically, numerous studies have been carried out. Among them, signal-based methods are commonly …
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line [12]. Off-line monitoring suffers from the need of expert operator skills for sampling and analysis. This system is existing right now for fault diagnosis of the AgMachine subsystems. It is due to the need for extraction of fluid for analysis in a laboratory. Furthermore, each monitoring results in time extension, and in the result of sampling
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and CBM (condition based maintenance) models which predict fault or deterioration in excavator components. Kirmani and Ercelebi /7/ developed an expert system for hydraulic excavator and truck selection in surface mining. For selecting of hydraulic excavators, trucks, and equipment
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diagnosis of electrical control system and hydraulic system. It can implement state detection and fault diagnosis to the electrical control system of hydraulic excavator for readiness of military operation. Furthermore the fault would be located on standalone unit. The state parameters of hydraulic and electrical system are acquired through built-in test port. …
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Jul 28, 2021 · Fault Diagnosis Expert System for Top Drive System Based on FTA. Abstract: Top driver system (TDS) is a complex structure of mechanical, electrical and hydraulic integration drilling equipment, which is a high-tech equipment in modern drilling equipment. However, TDS in the process of drilling operation will inevitably have faults, which has high requirements for …
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Jun 21, 2019 · Based on this, a fault diagnosis model of Bayesian network for the HGS is presented. The expert system gives the prior probabilities of nodes, and the Noisy‐Or modeling approach is employed to reduce the node computations. Based on the Bayes' theorem, we conduct the Bayesian fault diagnosis inference of the HGS.
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According to the problem that the fault of the hydraulic support was difficult and the recognition rate was low, the fault diagnosis method was put forward based on the FTA fully mechanized coal mining hydraulic support. This method was integrated with fault tree diagnosis technology and expert system. The failure types and causes of the hydraulic support
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3. Jian Yin, Liting Mei, Fault Diagnosis of Excavator Hydraulic Sy stem Based on Expert System, Advances in Automation and Robotics, 2012, 122(1): 87-92. 4. Chinmaya Kar, A.R. Mohanty, Monitoring gear vibrations through motor current signature analysis and wavelet transform, Mechanical Systems & Signal Processing, 2006, 20(1): 158-187. 5.
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Fault detection of excavator's hydraulic system based on . fault detection approach presented in the previous section. 5.1 Simulation model The simulation model was based on the hydraulic system of SWE85 intelligent excavator produced by Hunan Sunward Intelligent Machinery Co. Ltd. AMESim[13−15], and an advanced hydraulic simulation environment, was used for modeling.
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The Key Technology of Excavator Hydraulic Pump-motor Test System Development and Research, HouXiaoHua/Guangdong University of Technology,2/189; The Study and Application of Fuzzy Petri Nets Based on Genetic Algorithm Parameter Optimization in Hydraulic Pump Fault Diagnosis, ZhaoYong/Inner Mongolia University of Science and Technology,0/115
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According to performance characteristics of operating equipments in a hydraulic generator unit (HGU), the relative techniques on condition monitoring and fault diagnosis (CMFD) are introduced in this paper, especially the key technologies are emphasized, such as equipment monitoring, expert system (ES), intelligent diagnosis and condition based maintenance (CBM).
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and the recognition rate was low, the fault diagnosis method was put forward based on the FTA fully mechanized coal mining hydraulic support. This method was integrated with fault tree diagnosis technology and expert system. The failure types and causes of the hydraulic support are researched in detail, and the fault tree model is created with
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As the core of fault diagnose expert system (FDES), perfection level of inference engine and fault knowledge base is one of the most important criteria to evaluate FDES' efficiency. And how to update the diagnose knowledge with the change of system structure robustly becomes the critical issue in designing a fault diagnose expert system. Aimed at the bottlenecks in current FDES …
Get a QuoteA hydraulic system fault of excavator was given as an example to design an expert system with the function of complex reasoning and explanation.
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development of a Diagnosis Expert System for Hyundai Diesel Engines CRDi 2.0, that has been created based on the expertise handle by two experts that can give an accurate fault diagnosis for this kind of engine, considering the causes and can give the appropriate actions to be taken.
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