This paper presents the first of two case studies conducted in 2009, to evaluate a concept for specifying and designing a Health Management System (HMS). This first case study made use of a representative Unmanned Aerial Vehicle fuel... more
This paper presents the first of two case studies conducted in 2009, to evaluate a concept for specifying and designing a Health Management System (HMS). This first case study made use of a representative Unmanned Aerial Vehicle fuel system. Conflicting information ...
Work accidents in Indonesia are still likely to be high even though the Company received a certificate of Occupational Safety and Health Management System (SMK3) soaring up 70%. In these phenomena there are indications of declining... more
Work accidents in Indonesia are still likely to be high even though the Company received a certificate of Occupational Safety and Health Management System (SMK3) soaring up 70%. In these phenomena there are indications of declining productivity of construction workers. One of the unique construction results is the property mall. In Jakarta itself has built 80 malls with various classes. The application of SMK3 in each legal civil activity must be carried out in accordance with Government Regulation no. 50 of 2012 which is integrated with the company's regulations. The research was conducted on the participants of mall management building in Jakarta and in cooperation with PT XYZ one of the developers and managers of a large mall in Jakarta. It is necessary to evaluate the factors of the application of SMK3 that affect the productivity of workers in fit out mall work. The data was taken with field surveys, interviews and questionnaires as well as supporting data. It uses 7 free variables defined by ranking by the RII (Relative Importance Index) method, and combined with multiple linear regressions. The results showed the dominant factor affecting worker productivity in fit out mall jobs in DKI Jakarta was the communication factor of workers (X5) with a significance of 0.002 and a double regression coefficient of 0.821.
ABSTRACT Prognosis is a fundamental enabling technique for condition-based maintenance (CBM) systems and prognostics and health management (PHM) systems and therefore, plays a critical role in the successful deployment of these systems.... more
ABSTRACT Prognosis is a fundamental enabling technique for condition-based maintenance (CBM) systems and prognostics and health management (PHM) systems and therefore, plays a critical role in the successful deployment of these systems. The purpose of prognosis is to predict the remaining useful life of a system/subsystem or a component when a fault is detected. Although different prognostic algorithms have been developed and tentatively applied to various mechanical and electrical systems in the past decade, the verification and validation (V&V) remains a challenging open problem. The difficulties lie in the facts that first, there is usually no statistically sufficient data to do V&V and second, there is no rigorous and general V&V framework available. In this paper, several new metrics and methodologies stemming from weather forecast verification, nonlinear exact filtering, nonlinear uncertainty propagation and Monte Carlo method are proposed to validate user defined particle-filtering based prognostic algorithm. The presented metrics and methodologies are generic and can be extended to the V&V of other prognostic algorithms on different platforms. The methodologies are demonstrated on the prognosis of a real world application.
