Event-based detection of the digging operation states of a wheel loader earth moving equipment
by Salem A. Haggag; Nabila S. Elnahas
International Journal of Heavy Vehicle Systems (IJHVS), Vol. 20, No. 2, 2013

Abstract: The productivity of wheel-type loader earth moving equipment is highly affected by the digging procedure or style used by the operator. The digging operation could last for more than two shifts per day (16 h), which is very exhausting for many operators. The current technologies of automatic digging algorithm do not completely solve the problem. The single automatic digging procedure feature does not always ensure a good performance, due to the large variety of materials encountered in different sites and even within the same site. In this paper, a fuzzy logic algorithm that detects the different states of the digging operation is proposed. The proposed system is essential for the automatic digging algorithm to capture the operator digging style. During the learning mode, the algorithm determines the key parameters of the system states, which will be then used in the automatic digging algorithm to mimic the same operator procedure. The proposed fuzzy approach was also compared to the conventional Finite State Machine (FSM) approach. The comparison showed that the proposed approach was superior from the state detection point of view.

Online publication date: Wed, 30-Oct-2013

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Heavy Vehicle Systems (IJHVS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com