Mission reliability modeling for multi-station manufacturing system based on Quality State Task Network

Abstract

Multi-state-oriented mission reliability modeling is the premise of intelligent scheduling and predictive maintenance for the multi-station manufacturing system. Previous studies on reliability modeling for manufacturing system could only provide a static reliability model based on the basic reliability of the components of manufacturing systems, which cannot support reliability-oriented production scheduling and preventive maintenance effectively. To resolve this dilemma, a multi-state-oriented mission reliability modeling for multi-station manufacturing system is proposed. First, the mapping relationship between the produced product reliability and mission reliability of the manufacturing system is proposed as the basis for modeling, and the connotation of mission reliability is elaborated by analyzing the polymorphisms of the multi-station manufacturing system. Second, a graphical representation to improve the state transparency named as Quality State Task Network is proposed based on production data by integrating the variability of task-demands propagation as well as the multi-state in material quality and machine performance. Third, the mission reliability modeling method based on the Quality State Task Network is proposed. Finally, a case study of cylinder-head manufacturing system has been applied to validate the proposed model.

Operational risk modeling based on operational data fusion for multi-state manufacturing systems

“…where measurement matrix v i is determined by the measuring point placement information on value and location at this machine. In this way, equation (14) can be rewritten in the form of input-output by the controllable input U from each machine and the final observed variations Y after manufacturing…”

Distributed Reliable and Efficient Transmission Task Assignment for WSNs

“…The reliability of clustered WSNs at time t is:ClusterRsi,sink(t,i)=∏c=1LRAC(t,i)×RTc(t,i) where RAc(t,i) refers to the reliability of the i-th transmission performed by cluster c . In most clustered WSNs, a cluster is designed with one cluster head, and the transmission between cluster head and members is single-hop [17]. Since the packet delivery rate is within one hop in a cluster, the error between the average and the actual value is smaller.…”

Overview of Key Quality Characteristics Identification of Complex Electromechanical Products

“…Research on manufacturing process KQCs recognition, the domestic representative research in recent years are: He Yihai et al [26] proposed a reliability modeling and analysis method for manufacturing system based on process quality data; Zhang Genbao et al [27] put forward the KQCs model and the KQCs optimization model of complex electromechanical products based on artificial neural network (ANNs) technology; Shen et al [28] proposed a quality factor screening method for discrete event simulation experiments based on sequential factor test. The recognition of KQCs in manufacturing process can be attributed to the dimensionality reduction of high-dimensional data.…”