In this paper, Hotelling’s 2 T chart and the DPCA(Dynamic PCA)-based 2 A T and Q charts are applied to real oil data histories obtained from condition monitoring of heavy hauler truck transmissions. The objective is to evaluate the impending failure detection capability and the false alarm rate of the control charts in a CBM (conditionbased maintenance) application. When applied to failure hist...

Sustainable development is one the main strategies for advanced cement enterprises in industry 4.0. There are applied modern technologies and methods resulted sustainable competitive advantage of Holcim Group. According to objectives Group it announced introduce a new reference construction by 2030 2050. These goals have been validated Science Based Targets initiative. [6] Therefore, managers a...

The United States Navy (USN) is shifting towards condition-based maintenance (CBM) of fatigue critical dynamic components on rotorcraft, which requires more efficient methods for component identification, usage history recording, and fatigue life tracking. This paper presents a method developed by Technical Data Analysis, Inc. (TDA) to track usage and history of all uniquely serialized componen...

The US Army is actively transforming its Aviation Maintenance from current practice to one where maintenance action is based on evidence of need using an increased number of embedded sensors and diagnostic equipment. Several demonstrations of HUMS system capabilities have been conducted to adopt these systems to the US Army environment and to identify the costs and risks. Benefits expected from...

Proper maintenance can enhance the productivity of the company and increases its value in the market. This paper addresses the issue of selecting an effective maintenance technology considering the strategic maintenance and managerial policy of an organization. The research proposes a model frame work for predictive maintenance indicator effectiveness (PMIE) based on the analytical hierarchy pr...

Machine remaining useful life (RUL) prediction is a key part of Condition-Based Maintenance (CBM), which provides the time evolution of the fault indicator so that maintenance can be performed to avoid catastrophic failures. This paper proposes a new RUL prediction method based on adaptive neuro-fuzzy inference systems (ANFIS) and high-order particle filtering, which predicts the time evolution...

The aim of this paper is to propose an adequate condition-based maintenance policy to a gradually deteriorating system using on-line detection algorithms. The originality of this work is due to the fact that the parameters defining the deterioration mode can be unknown. The main purpose is to estimate these unknown parameters in order to propose an adoptive condition based maintenance policy an...

Cassidian is in the process of developing a comprehensive simulation framework for integrated system health monitoring and management research and development. One significant building block is to invite 1st class technology providers, e.g. Universities and SMIs, to provide innovative technologies and support their integration into the simulation framework. This paper is a joint presentation of...

A new concept of condition-based maintenance (CBM), Total Quality Maintenance (TQMain) is presented. It aims to maintain not only machines but the quality of the essential elements involved in the production process, such as methods, operational conditions, personnel competence, raw material, quality and managerial systems. The major results achieved, which are based on several case studies, ar...

With the rapid growth of wind energy installed capacity, optimized maintenance has gained increasingly attentions from both researchers and wind farm owners. Conditionbased maintenance (CBM) has been introduced to the wind energy industry in order to ensure the availability and safety of the wind energy conversion (WEC) system, while minimize the operating and maintenance (O&M) costs. In this p...