Diesel engine vibration monitoring based on a statistical model

Abstract

There are various causes for vibrations on diesel engines. The engine vibrations depend not only on the present state of the engine, but also on the fuel quality, the environmental conditions (sea state in the case of shipborne engines), type of casing, other equipment in the vicinity, etc. The engines used for this study are installed aboard a ship, and the main aim is to use modified control charts to assess the condition of the engine and recommend corrective measures when necessary. An important issue to do this correctly is choosing the right places to measure vibration. The collected data is vibration at various engine power levels, measured at various points. The engine’s fault history is taken into consideration, but proved to be almost irrelevant. By using modified control charts, the engine vibrations can be estimated, and faults can be detected and classified so as to take corrective actions. In this study we followed a methodology that is slightly different from our previous work, and achieved good results.

Condition Monitoring of Internal Combustion Engines in Thermal Power Plants Based on Control Charts and Adapted Nelson Rules

“…This concept is based on control charts that enable the tracking of each monitored parameter within certain limits [22]. Lampreia et al [23] propose the use of the EWMA (Exponentially Weighted Moving Average) on the control charts of the pressure and temperature of a maritime ICE in order to decide when to activate a spare refrigeration system for the engine. However, the EWMA has insufficient rules to consider the behavior of data points that are not very close to the average.…”