An Optimization Framework for The Design of Cable Harness Layouts in Planar Interconnected Systems

The components of complex systems such as automobiles or ships communicate via connectors, including wires, hoses, or pipes whose weight could substantially increase the total weight of the system. Hence, it is of paramount importance to lay out these connectors such that their overall weight is minimized. In this paper, a computationally efficient approach is proposed to optimize the layout of flexible connectors (e.g., cable harnesses) by minimizing their overall length while maximizing their common length. The approach provides a framework to mathematically model the cable harness layout optimization problem. A Multiobjective Genetic Algorithm (MOGA) solver is then applied to solve the optimization problem, which outputs a set of non-dominated solutions to the bi-objective problem. Finally, the effects of the workspace’s geometric structure on the optimal layouts of cable harnesses are discussed using test cases. The overarching objective of this study is to provide insight for designers of cable harnesses when deciding on the final layout of connectors considering issues such as accessibility to and maintainability of these connectors.

Multi-Branch Cable Harness Layout Design Based on Genetic Algorithm with Probabilistic Roadmap Method

Current studies on cable harness layouts have mainly focused on cable harness route planning. However, the topological structure of a cable harness is also extremely complex, and the branch structure of the cable harness can affect the route of the cable harness layout. The topological structure design of the cable harness is a key to such a layout. In this paper, a novel multi-branch cable harness layout design method is presented, which unites the probabilistic roadmap method (PRM) and the genetic algorithm. First, the engineering constraints of the cable harness layout are presented. An obstacle-based PRM used to construct non-interference and near to the surface roadmap is then described. In addition, a new genetic algorithm is proposed, and the algorithm structure of which is redesigned. In addition, the operation probability formula related to fitness is proposed to promote the efficiency of the branch structure design of the cable harness. A prototype system of a cable harness layout design was developed based on the method described in this study, and the method is applied to two scenarios to verify that a quality cable harness layout can be efficiently obtained using the proposed method. In summary, the cable harness layout design method described in this study can be used to quickly design a reasonable topological structure of a cable harness and to search for the corresponding routes of such a harness.

Use of Technological Diagnosis in Rail Vehicle Engines Maintenance

The paper aims to classify the maintenance of internal combustion engines in 812 series diesel multiple units, to analyse operating failures, and to identify methods and procedures for determining their current mechanical condition. The paper specifies the required procedures and methods for maintenance starting from the development of the DMU (diesel multiple units) 812 series to the present. It also focuses on understanding how diagnosis and control sensors are attached in individual cable harnesses. A protocol for diagnosing combustion engine defects is proposed in the final part of the paper. A part of the paper is a proposed list of codes for individual faults to facilitate the work. Another method proposed within this paper is the definition and attachment of individual sensor connections on the engine in the EDC (Electronic Diesel Control) M(S) 5 cable harness. Faults leading to engine stop are identified.