A New Scheme for Fault Detection and Classification Applied to DC Motor

SANTOS, L.I.; PALHARES, R.M.; D’ANGELO, M.F.S.V.; MENDES, J.B.; VELOSO, R.R.; EKEL, P.Y.

doi:10.5540/tema.2018.019.02.0327

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Articles • TEMA (São Carlos) 19 (2) • May-Aug 2018 • https://doi.org/10.5540/tema.2018.019.02.0327 copy

A New Scheme for Fault Detection and Classification Applied to DC Motor

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

This study presents an approach for fault detection and classification in a DC drive system. The fault is detected by a classical Luenberger observer. After the fault detection, the fault classification is started. The fault classification, the main contribution of this paper, is based on a representation which combines the Subctrative Clustering algorithm with an adaptation of Particle Swarm Clustering.

Keywords:
Fault Detection and Classification 1; Luenberger Observer 2; Particle Swarm Clustering 3

Fault	Fault Type	Affected Fault Indicator Parameter	Index Variables	Parameters Values
1	Armature converter disconnection	i_a = 0	k _aa	{0;1}
2	Field converter disconnection	i_fd = 0	k_afd .	{0;1}
3	Armature converter short circuit	v_a = 0	k _cca	{0;1}
4	Field converter short circuit	v_fd = 0	k_ccfd .	{0;1}
5	Armature turns short-circuit	r_a and L _a	kra_ca and kLa _ca	[0;1]
6	Field turns short-circuit	r_fd and L _fd	${k^{r_{f d}}}_{c f d} and {k^{L_{f d}}}_{c f d}$	[0;1]
7	Ventilation system fault	r_a and r _fd	${k_{f v}}^{r_{a}} and {k_{f v}}^{r_{f d}}$	[1;∞)
8	Bearing lubrication fault	B _m	k _fl	[1;∞)
9	Armature current sensor fault	i _a	${k_{i_{a}}}^{f}$	{0;1}
10	Field current sensor fault	i _fd	${k_{i_{f d}}}^{f}$	{0;1}
11	Machine speed sensor fault	ω _r	${k_{ω_{r}}}^{f}$	{0;1}

Description	Hit Rate (%)			Number of particles
Description	Larger	Smaller	Average	Larger	Smaller	Average
cPSC	88.10	41.67	73.19	172	9	54.41
cPSC _ED	83.73	73.02	80.99	155	76	125.76
cPSC _PG	90.48	65.48	81.19	25	16	20.66
cPSC _EP	96.04	76.98	86.37	24	15	19.90
cPSC _PS	91.67	54.37	78.91	18	10	14.56
NcPSC	100	82.14	91.30	20	11	13.43

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E-mail: sbmac@sbmac.org.br

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[1] *Corresponding author: Marcos Flávio Silveira Vasconcelos D’Angelo - E-mail: marcos.dangelo@unimontes.br