On-line Condition Monitoring and Remote Fault Diagnosis for Marine Diesel Engines Using Tribological Information
نویسندگان
چکیده
Literature review indicates that a large amount of failures are caused by abnormal wear of the diesel engine components. It is therefore essential to monitor the engine condition using the tribological information. Although the wear debris analysis has been proven to be effective for condition monitoring and fault diagnosis (CMFD) of diesel engines, limited work has been done to address the remote on-line CMFD system in practice. To extend the oil monitoring technology into industrial application level, a new remote on-line fault diagnosis system for marine diesel engines has been proposed in this paper. The new system consists of an on-line tribological signal acquisition model in the ship, a remote feature extraction model and a fault diagnosis model in the laboratory center. Nine wear characteristics were extracted to detect the engine faults, including the surface roughness of wear particles, oil moisture and viscosity, and index of particle covered area (IPCA), etc. In order to select a relative best feature for the on-line fault detection, the interaction information based feature selection method was employed to determine the suitable indicator. This study has found that the IPCA is the best feature among other eight features to online respond the engine condition changes. The diagnosis results show that the new system offers satisfactory on-line fault diagnosis ability and is effective for the diesel engine fault diagnosis in practice.
منابع مشابه
A Fuzzy Rule Based System for Fault Diagnosis, Using Oil Analysis Results
Condition Monitoring, Oil Analysis, Wear Behavior, Fuzzy Rule Based System Maintenance , as a support function, plays an important role in manufacturing companies and operational organizations. In this paper, fuzzy rules used to interpret linguistic variables for determination of priorities. Using this approach, such verbal expressions, which cannot be explicitly analyzed or statistic...
متن کاملIntelligent fault diagnosis method for marine diesel engines using instantaneous angular speed
The normal operation of marine diesel engines ensures the scheduled completion and efficiency of a trip. Any failures may result in significant economic losses and severe accidents. It is therefore crucial to monitor the engine conditions in a reliable and timely manner in order to prevent the malfunctions of the plants. This work describes and evaluates the development and application of an in...
متن کاملFuzzy Knowledge Base System for Fault Tracing of Marine Diesel Engine
Marine diesel engine provides the prime mover for the majority of ship propulsion systems and as such plays a fundamental role in ship operational and economy. Ship owners and operators focuses to the development of improved method of analysis, operation, fault condition diagnosis, performance monitoring, performance optimization, and recently emission analysis and control. Information technolo...
متن کاملFuzzy diagnosis module based on interval fuzzy logic: oil analysis application
This paper presents the basic characteristics of a prototype fuzzy expert system for condition monitoring applications, in particular, oil analysis in Diesel engines. The system allows for reasoning under absent or imprecise measurements, providing with an interval-valued diagnostic of the suspected severity of a particular fault. A set of so-called metarules complements the basic fault diction...
متن کامل