Maintenance Decision-Making Using Intelligent Prognostics Within a Single Spare Parts Support System.

Bowei Zhang, Changhua Hu, Jianfei Zheng, Hong Pei

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

A Review of Fault Diagnosis and Intelligent Operations and Maintenance for Agricultural Machinery: Fault Mechanisms, Key Technologies, and Practical Recommendations.Sensors (Basel, Switzerland) · 2026
Review

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bowei ZhangCollege of Missile Engineering, Rocket Force University of Engineering, Xi'an 710025, China.

Changhua HuCollege of Missile Engineering, Rocket Force University of Engineering, Xi'an 710025, China.

Jianfei ZhengCollege of Missile Engineering, Rocket Force University of Engineering, Xi'an 710025, China.

Hong PeiCollege of Missile Engineering, Rocket Force University of Engineering, Xi'an 710025, China.

Funding

General Project of China Postdoctoral Science Foundation 2023M734286National Natural Science Foundation of China 62103433National Natural Science Foundation of China 62227814Shaanxi Provincial Association for Science and Technology Youth Talent Support Project 20230127

6 · The paper itself

Abstract

Health management is the foothold of remaining useful life (RUL) prediction, known as 'prognostics'. However, sudden failures in complex systems can lead to increased downtime and maintenance costs, ultimately diminishing system health and availability. Considering intelligent prognostics of components, maintenance decision-making for spare parts ordering and replacement is proposed within a spare parts support system. The decision-making process aims to minimize costs while maximizing availability as its primary objective. It considers spare parts ordering time and replacement time as key decision variables. By developing a maintenance decision-making model, it aims to determine the optimal time for ordering and replacing spare parts. This maintenance approach is designed to provide technical support for effective and rational equipment management decision-making.

Indexed as

maintenance decision-makingreplacementsingle spare parts support systemspare parts ordering

Identifiers

PMID39943476

DOI10.3390/s25030837

PMCPMC11821148

What OpenQuestion holds

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LicenceCC BY

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.