Research on a time estimation method for disassembly and Assembly of turboshaft engine accessories based on maintenance process attributes

Abstract This study addresses the issue of estimating the disassembly and assembly time of accessories in turboshaft engines by proposing a time prediction method based on attributes of the maintenance process. Traditional maintenance time estimation methods often rely on historical data or idealized baseline durations, failing to adequately account for deviations in actual maintenance processes, which leads to significant discrepancies between predicted and actual results. To overcome this limitation, this paper establishes a maintenance process model and introduces the Methods-Time Measurement-1 (MTM-1) technique to conduct a detailed breakdown of maintenance tasks. Furthermore, six key maintenance attributes—error-proofing, visibility, human factors engineering, maintenance safety, maintenance space, and accessibility—are integrated to develop a natural language evaluation model and a time correction factor. This integration enables dynamic adjustment of the baseline maintenance time. A case study involving the disassembly and assembly of an oil temperature sensor in a T700-GE-701D turboshaft engine was conducted for validation, and the results align well with engineering practice. The research demonstrates that the proposed method offers greater detail and accuracy compared to conventional approaches. It is suitable for maintainability assessment during the design phase, exhibiting good economic efficiency and engineering applicability, thereby providing effective support for the maintainability design of turboshaft engines.